☆ 4.7 Review

A Comprehensive Review for Typical Applications Based Upon Unmanned Aerial Vehicle Platform

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2022)

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Article Computer Science, Information Systems

All-Day Object Tracking for Unmanned Aerial Vehicle

Bowen Li et al.

Summary: This paper proposes a novel discriminative correlation filter-based tracker ADTrack with illumination adaptive and anti-dark capability, and establishes a UAV nighttime tracking benchmark UAVDark135. Extensive experiments validate the superiority and robustness of ADTrack in all-day conditions.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2023)

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Article Computer Science, Artificial Intelligence

Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook

Sajid Javed et al.

Summary: Accurate and robust visual object tracking is a challenging problem in computer vision. This survey reviews more than 90 Discriminative Correlation Filters (DCFs) and Siamese trackers, based on results in nine tracking benchmarks. It presents the background theory, research challenges, and performance analysis of both DCFs and Siamese trackers, and provides recommendations for future research.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2023)

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Article Geochemistry & Geophysics

Elastic Reflection Waveform Inversion With a Nonlinear Born Scattering Operator for Multiparameter Reconstruction

Guanchao Wang et al.

Summary: Elastic full waveform inversion (FWI) is a popular tool for high-resolution recovery of subsurface P- and S-velocity models, but it requires a good starting model or low-frequency data to avoid the cycle-skipping issue. Elastic reflection waveform inversion (ERWI) computes the low-wavenumber gradient using the migration/demigration process, but the conventional method mainly relies on the first-order Born scattering and provides limited wavenumber illumination in the update. This letter incorporates a nonlinear Born scattering operator with ERWI for multiparameter reconstruction to mitigate the drawback of the conventional linear Born approximation, and numerical examples show that it allows us to take advantage of the multiples and enlarge the wavenumber illumination in ERWI results.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2023)

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Article Engineering, Civil

Deep Learning for Visual Tracking: A Comprehensive Survey

Seyed Mojtaba Marvasti-Zadeh et al.

Summary: This survey systematically investigates current deep learning-based visual tracking methods, benchmark datasets, and evaluation metrics, while extensively evaluating leading visual tracking methods.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

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Article Environmental Sciences

An Adaptive Sample Assignment Strategy Based on Feature Enhancement for Ship Detection in SAR Images

Hao Shi et al.

Summary: An adaptive sample assignment strategy is proposed to select high-quality positive samples based on knowledge learned from regression and classification branches, and a regression guided loss is introduced to further guide the detector in selecting high-quality positive samples. Additionally, a feature aggregation enhancement pyramid network is proposed to enhance feature representations and reduce false alarms.

REMOTE SENSING (2022)

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Article Environmental Sciences

Dynamic Range Compression Self-Adaption Method for SAR Image Based on Deep Learning

Hao Shi et al.

Summary: This paper presents a self-adaptive SAR image dynamic range compression method based on deep learning, which uses a decomposition-fusion framework to achieve noise suppression and contrast enhancement. The proposed method significantly improves the visualization of SAR images.

REMOTE SENSING (2022)

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Article Environmental Sciences

Hyperspectral Image Classification via Deep Structure Dictionary Learning

Wenzheng Wang et al.

Summary: This paper proposes a deep learning-based structure dictionary for hyperspectral image (HSI) classification. By incorporating deep residual neural networks and designing sharing constraints, the proposed model improves the performance and discriminative ability. Additionally, two types of loss functions are introduced to enhance the classification performance.

REMOTE SENSING (2022)

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Article Geochemistry & Geophysics

Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A Survey

Wu Xin et al.

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2022)

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Article Robotics

Tracker Meets Night: A Transformer Enhancer for UAV Tracking

Junjie Ye et al.

Summary: Most progress in object tracking has been focused on daytime scenes, but the new SCT low-light enhancer specifically targets nighttime UAV tracking, with significant performance gains shown in evaluations compared to other top-ranked enhancers. The proposed approach utilizes a special attention module and denoising techniques to simultaneously enhance low-light images, allowing for more reliable UAV tracking in challenging nighttime conditions.

IEEE ROBOTICS AND AUTOMATION LETTERS (2022)

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Article Computer Science, Information Systems

Learning Adaptive Spatial-Temporal Context-Aware Correlation Filters for UAV Tracking

Di Yuan et al.

Summary: This paper proposes an adaptive spatial-temporal context-aware (ASTCA) model within the DCF-based tracking framework to improve tracking accuracy and reduce background interference in UAV-tracking scenarios. The ASTCA model learns spatial-temporal context weight and incorporates spatial context information, which outperforms state-of-the-art tracking methods on standard UAV datasets.

ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS (2022)

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Article Engineering, Electrical & Electronic

Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning

Yiming Sun et al.

Summary: Researchers have constructed a large-scale drone-based RGB-infrared vehicle detection dataset and proposed an uncertainty-aware cross-modality vehicle detection framework to improve detection performance in challenging conditions. The experiments show that the proposed method performs well in complex environments.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2022)

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Article Engineering, Electrical & Electronic

RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation

Chunlei Liu et al.

Summary: This paper proposes a network called RB-Net, which achieves better performance compared to state-of-the-art binary neural network methods by introducing reshaped point-wise convolution (RPC) and balanced activation (BA), reducing computational cost while maintaining accuracy.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2022)

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Article Computer Science, Artificial Intelligence

Detection and Tracking Meet Drones Challenge

Pengfei Zhu et al.

Summary: Drones equipped with cameras have been widely used in various fields, and the automatic understanding of visual data collected from drones has become highly demanding. To promote the development of object detection and tracking algorithms, challenge workshops have been organized, and a large-scale drone captured dataset, VisDrone, has been provided. The dataset enables extensive evaluation and investigation of visual analysis algorithms. The paper analyzes the current state of the field and proposes future directions.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)

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Article Geochemistry & Geophysics

A Low Coupling and Lightweight Algorithm for Ship Detection in Optical Remote Sensing Images

Guochao Deng et al.

Summary: In this study, a low coupling algorithm and a model compression method were proposed for ship detection. The low coupling algorithm reduced model complexity and achieved superior performance on the HRSC2016 dataset. The model compression method effectively reduced model size while maintaining performance.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2022)

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Article Remote Sensing

VSAI: A Multi-View Dataset for Vehicle Detection in Complex Scenarios Using Aerial Images

Jinghao Wang et al.

Summary: Arbitrary-oriented vehicle detection via aerial imagery is crucial for remote sensing and computer vision. However, the development in this field has been slow due to the complexity of real-world scenarios and the lack of high-quality datasets. To address this, researchers collected high-resolution images and created a multi-view dataset (VSAI) for vehicle detection in complex scenarios. The dataset poses significant challenges to existing object detection algorithms and is publicly available.

DRONES (2022)

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Article Geochemistry & Geophysics

Nonoverflow Representation of Electromagnetic Field From Dipole Source in Cylindrical Media With Uniaxial Anisotropy

Decheng Hong

Summary: This paper presents a nonoverflow representation of the electromagnetic field radiated by dipole sources in anisotropic media, utilizing normalized reflection/transmission coefficients to describe wave propagation and a recursive algorithm for field calculation in each layer. The study discusses the parity of integrands through numerical simulations to accelerate computational efficiency.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

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Article Computer Science, Artificial Intelligence

An empirical study of multi-scale object detection in high resolution UAV images

Haijun Zhang et al.

Summary: This paper presents a large-scale benchmark dataset, MOHR, aiming at performing multi-scale object detection in high-resolution UAV images, with a total of 90,014 annotated object instances. Experimental results show promising detection performance, but also demonstrate that the dataset is quite challenging for adopting natural image-based object detection models for UAV images.

NEUROCOMPUTING (2021)

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Review Computer Science, Artificial Intelligence

Imbalance Problems in Object Detection: A Review

Kemal Oksuz et al.

Summary: This paper provides a comprehensive review of imbalance problems in object detection, presenting a problem-based taxonomy to systematically analyze and discuss solutions. Major open issues regarding existing and new imbalance problems are identified, with a webpage cataloging relevant papers for researchers to access.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

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Article Automation & Control Systems

Learning dynamic regression with automatic distractor repression for real-time UAV tracking

Changhong Fu et al.

Summary: The proposed method in this paper provides an efficient approach for UAV target tracking by monitoring local maximums of the response map to automatically detect distractors and learning regression targets based on these local maximums in filter training. Experimental results demonstrate that the method outperforms traditional trackers and shows comparability with deep learning approaches.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

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Article Geochemistry & Geophysics

Robust Shadow Tracking for Video SAR

Baojun Zhao et al.

Summary: Video synthetic aperture radar (Video SAR) has attracted research attention for its ability to continuously observe and track objects of interest. The proposed robust shadow tracking algorithm in this letter utilizes spatial-temporal information and saliency-based detection mechanism to effectively combat distractions and background clutters. The algorithm, efficiently solved using the ADMM technique in the Fourier domain, outperforms other state-of-the-art methods in experiments.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2021)

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Article Geochemistry & Geophysics

More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

Danfeng Hong et al.

Summary: This study introduces a general multimodal deep learning (MDL) framework for the classification and identification challenges in geoscience and remote sensing. By investigating a special case of multi-modality learning (MML), the study presents five fusion strategies and demonstrates how to train deep networks and build network architectures effectively. Experimental results on two different multimodal RS data sets confirm the efficiency and advantages of the proposed MDL framework.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

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Article Computer Science, Information Systems

A lightweight multi-scale aggregated model for detecting aerial images captured by UAVs

Zhaokun Li et al.

Summary: The article introduces a lightweight model named DSYolov3, which enhances the detection performance of the Yolov3 model through various improvements, including detection of objects in different scales, channel information fusion, and model compression. Experimental results demonstrate the high effectiveness and efficiency of this approach in aerial images captured by UAVs.

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2021)

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Article Geochemistry & Geophysics

Graph Convolutional Networks for Hyperspectral Image Classification

Danfeng Hong et al.

Summary: This article thoroughly investigates the applications of Convolutional Neural Networks (CNNs) and Graph Convolutional Networks (GCNs) in hyperspectral image classification. By developing a new minibatch GCN (miniGCN) to train and infer large-scale GCNs, as well as exploring fusion strategies for different types of HS features, the study achieves good classification performance.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

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Article Environmental Sciences

Dual Attention Feature Fusion and Adaptive Context for Accurate Segmentation of Very High-Resolution Remote Sensing Images

Hao Shi et al.

Summary: This study proposes a land cover classification method for high-resolution remote sensing images that combines spatially adapting contextual cues and dual attention mechanism, improving the accuracy and performance of fine segmentation for object boundary pixels.

REMOTE SENSING (2021)

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Article Computer Science, Information Systems

Siamese Visual Object Tracking: A Survey

Milan Ondrasovic et al.

Summary: Siamese trackers, utilizing deep machine learning and similarity learning, show powerful capabilities for real-time object tracking. Research interest in Siamese trackers is growing, yet there is a lack of specialized surveys in this category. This survey delves deep into the challenges, design decisions, and motivations behind Siamese trackers.

IEEE ACCESS (2021)

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Article Engineering, Electrical & Electronic

Learning Dynamic Spatial-Temporal Regularization for UAV Object Tracking

Chenwei Deng et al.

Summary: With its wide application and limited computing capability, UAV poses challenges to tracking algorithms, while DCF-based trackers are favored for their efficiency and accuracy. Many studies introduce spatial and temporal regularization into the DCF framework to enhance tracking performance, but these algorithms often lack flexibility and adaptability.

IEEE SIGNAL PROCESSING LETTERS (2021)

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Article Engineering, Electrical & Electronic

UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information

S. Girisha et al.

Summary: The research proposes an improved encoder-decoder based CNN architecture called UVid-Net for UAV video semantic segmentation, which embeds temporal information in the encoder and introduces a feature-refiner module in the decoder to enhance efficiency. The architecture is quantitatively evaluated on the ManipalUAVid dataset, showing superior performance compared to other algorithms.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

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Article Computer Science, Artificial Intelligence

Recent advances in deep learning for object detection

Xiongwei Wu et al.

NEUROCOMPUTING (2020)

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Article Computer Science, Artificial Intelligence

Conditional GAN based individual and global motion fusion for multiple object tracking in UAV videos

Hongyang Yu et al.

PATTERN RECOGNITION LETTERS (2020)

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Article Chemistry, Analytical

Affiliated Fusion Conditional Random Field for Urban UAV Image Semantic Segmentation

Yingying Kong et al.

SENSORS (2020)

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Article Chemistry, Analytical

UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective

Mingjie Liu et al.

SENSORS (2020)

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Article Environmental Sciences

Multi-Scale and Occlusion Aware Network for Vehicle Detection and Segmentation on UAV Aerial Images

Wang Zhang et al.

REMOTE SENSING (2020)

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Article Engineering, Electrical & Electronic

Boundary-aware vehicle tracking upon UAV

Yuqi Han et al.

ELECTRONICS LETTERS (2020)

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Article Geochemistry & Geophysics

Marginal Center Loss for Deep Remote Sensing Image Scene Classification

Tianyu Wei et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)

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Article Engineering, Electrical & Electronic

Small Object Detection in Unmanned Aerial Vehicle Images Using Feature Fusion and Scaling-Based Single Shot Detector With Spatial Context Analysis

Xi Liang et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2020)

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Article Automation & Control Systems

High-Performance Visual Tracking With Extreme Learning Machine Framework

Chenwei Deng et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

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Article Engineering, Electrical & Electronic

Towards long-term UAV object tracking via effective feature matching

Baojun Zhao et al.

ELECTRONICS LETTERS (2020)

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Article Computer Science, Hardware & Architecture

Energy-Efficient Real-Time UAV Object Detection on Embedded Platforms

Jianing Deng et al.

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2020)

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Article Computer Science, Artificial Intelligence

Deep learning-based object detection in low-altitude UAV datasets: A survey

Payal Mittal et al.

IMAGE AND VISION COMPUTING (2020)

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Article Geography, Physical

X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data

Danfeng Hong et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

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Article Environmental Sciences

Object Tracking in Unmanned Aerial Vehicle Videos via Multifeature Discrimination and Instance-Aware Attention Network

Shiyu Zhang et al.

REMOTE SENSING (2020)

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Proceedings Paper Automation & Control Systems

AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance

Ilker Bozcan et al.

2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2020)

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Proceedings Paper Computer Science, Theory & Methods

Foreground-Background Imbalance Problem in Deep Object Detectors: A Review

Joya Chen et al.

THIRD INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION PROCESSING AND RETRIEVAL (MIPR 2020) (2020)

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Article Computer Science, Artificial Intelligence

Aggregation Signature for Small Object Tracking

Chunlei Liu et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2020)

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Article Engineering, Electrical & Electronic

Superpixel Labeling Priors and MRF for Aerial Video Segmentation

Yufeng Wang et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2020)

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Article Engineering, Aerospace

Real-time object tracking via least squares transformation in spatial and Fourier domains for unmanned aerial vehicles

Xiaoyuan Yang et al.

CHINESE JOURNAL OF AERONAUTICS (2019)

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Article Engineering, Electrical & Electronic

Spatial-Temporal Context-Aware Tracking

Yuqi Han et al.

IEEE SIGNAL PROCESSING LETTERS (2019)

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Article Computer Science, Hardware & Architecture

A Survey on optimized implementation of deep learning models on the NVIDIA Jetson platform

Sparsh Mittal

JOURNAL OF SYSTEMS ARCHITECTURE (2019)

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Article Computer Science, Artificial Intelligence

State-Aware Anti-Drift Object Tracking

Yuqi Han et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)

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Article Automation & Control Systems

Coarse-to-Fine UAV Target Tracking With Deep Reinforcement Learning

Wei Zhang et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2019)

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Article Computer Science, Artificial Intelligence

Context-aware pedestrian detection especially for small-sized instances with Deconvolution Integrated Faster RCNN (DIF R-CNN)

Han Xie et al.

APPLIED INTELLIGENCE (2019)

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Article Computer Science, Information Systems

Performance Analysis of Semantic Segmentation Algorithms for Finely Annotated New UAV Aerial Video Dataset (ManipalUAVid)

S. Girisha et al.

IEEE ACCESS (2019)

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Proceedings Paper Computer Science, Artificial Intelligence

SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications

Pengyi Zhang et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW) (2019)

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Proceedings Paper Computer Science, Artificial Intelligence

Dense and Small Object Detection in UAV Vision based on Cascade Network

Xindi Zhang et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW) (2019)

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Proceedings Paper Computer Science, Artificial Intelligence

RRNet: A Hybrid Detector for Object Detection in Drone-captured Images

Changrui Chen et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW) (2019)

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Proceedings Paper Computer Science, Artificial Intelligence

Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach

Zhenyu Wu et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)

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Proceedings Paper Computer Science, Artificial Intelligence

Clustered Object Detection in Aerial Images

Fan Yang et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)

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Article Computer Science, Information Systems

A Survey of Deep Learning-Based Object Detection

Licheng Jiao et al.

IEEE ACCESS (2019)

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Proceedings Paper Computer Science, Artificial Intelligence

Ensemble Knowledge Transfer for Semantic Segmentation

Ishan Nigam et al.

2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018) (2018)

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Article Geochemistry & Geophysics

High-Resolution Aerial Image Labeling With Convolutional Neural Networks

Emmanuel Maggiori et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)

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Article Computer Science, Artificial Intelligence

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

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Article Chemistry, Analytical

A Reliable and Real-Time Tracking Method with Color Distribution

Zishu Zhao et al.

SENSORS (2017)

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Proceedings Paper Computer Science, Artificial Intelligence

Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection

Mohammadamin Barekatain et al.

2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2017)

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Proceedings Paper Computer Science, Artificial Intelligence

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

Zizhao Zhang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

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Proceedings Paper Computer Science, Artificial Intelligence

Drone-based Object Counting by Spatially Regularized Regional Proposal Network

Meng-Ru Hsieh et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

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Article Computer Science, Information Systems

Vehicle detection in aerial imagery : A small target detection benchmark

Sebastien Razakarivony et al.

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2016)

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Proceedings Paper Computer Science, Artificial Intelligence

Learning by tracking: Siamese CNN for robust target association

Laura Leal-Taixe et al.

PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016) (2016)

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Proceedings Paper Computer Science, Artificial Intelligence

Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks

Michael Kampffmeyer et al.

PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016) (2016)

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Article Computer Science, Artificial Intelligence

High-Speed Tracking with Kernelized Correlation Filters

Joao F. Henriques et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)

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Article Computer Science, Artificial Intelligence

Object Tracking Benchmark

Yi Wu et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)

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Proceedings Paper Computer Science, Artificial Intelligence

Fast R-CNN

Ross Girshick

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)

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Article Geography, Physical

Multi-class geospatial object detection and geographic image classification based on collection of part detectors

Gong Cheng et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)

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