4.7 Article

Feature Split-Merge-Enhancement Network for Remote Sensing Object Detection

Related references

Note: Only part of the references are listed.
Article Geochemistry & Geophysics

Semantic Context-Aware Network for Multiscale Object Detection in Remote Sensing Images

Ke Zhang et al.

Summary: This paper proposes a semantic context-aware network (SCANet) model for multiscale object detection, with the use of receptive field-enhancement module (RFEM) and semantic context fusion module (SCFM) to enhance performance. Experimental results show that SCANet achieves superior detection results on the DOTA-v1.5 dataset compared to state-of-the-art approaches.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2022)

Article Geochemistry & Geophysics

A Novel Adaptive Hybrid Fusion Network for Multiresolution Remote Sensing Images Classification

Wenping Ma et al.

Summary: With the rapid development of earth observation technology, the article introduces a novel adaptive hybrid fusion network (AHF-Net) for multiresolution remote sensing image classification. The AHF-Net combines the adaptive weighted intensity-hue-saturation (AWIHS) strategy for data fusion and a correlation-based attention feature fusion (CAFF) module for feature fusion, resulting in improved classification accuracy. Experimental results demonstrate the effectiveness of the proposed algorithm.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Article Geochemistry & Geophysics

Global to Local: Clip-LSTM-Based Object Detection From Remote Sensing Images

Zhu Teng et al.

Summary: Object detection from remote sensing images is a fundamental topic in aviation and satellite image processing. This study proposes an innovative object detection network (GLNet) that integrates global context clues and local spatial contextual correlations to improve detection performance.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Article Geochemistry & Geophysics

CANet: Centerness-Aware Network for Object Detection in Remote Sensing Images

Lukui Shi et al.

Summary: In this study, we propose a feature pyramid-based remote sensing object detector called Centerness-Aware Network (CANet), which captures the symmetrical shape of objects in remote sensing images. CANet integrates Multiscale Centerness Descriptor (MSCD), Centerness Detection Head (CDH), and Feature Selective Module (FSM) into the feature pyramid to extract and utilize features around the center region. Experiments show that CANet is competitive with some state-of-the-art detection networks.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Article Geochemistry & Geophysics

Laplacian Feature Pyramid Network for Object Detection in VHR Optical Remote Sensing Images

Wenhua Zhang et al.

Summary: The paper introduces a novel Laplacian Feature Pyramid Network (LFPN) that combines low-frequency and high-frequency features to enhance object detection performance in VHR-ORS images. High-frequency features, crucial for distinguishing ground objects, have not been adequately addressed in previous studies.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Article Geochemistry & Geophysics

FSoD-Net: Full-Scale Object Detection From Optical Remote Sensing Imagery

Guanqun Wang et al.

Summary: The paper introduces a novel one-stage object detection network, which has achieved good performance in processing optical remote sensing images. By utilizing the improved multiscale enhancement network and scale-invariant regression layers, the network effectively enhances the accuracy of object detection.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Article Geochemistry & Geophysics

A Multiscale Self-Attention Deep Clustering for Change Detection in SAR Images

Huihui Dong et al.

Summary: This article introduces a novel unsupervised representation learning framework for change detection in synthetic aperture radar images. By combining convolutional neural networks and clustering, the model can be optimized end-to-end without supervision to enhance robustness to speckle noise.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Article Computer Science, Artificial Intelligence

New Generation Deep Learning for Video Object Detection: A Survey

Licheng Jiao et al.

Summary: Video object detection is a rapidly evolving task in computer vision, with deep learning methods achieving excellent results but facing challenges from duplicate and spatiotemporal information in video data. Scholars have made significant progress in researching deep learning detection algorithms in the context of video data in recent years.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

Article Geochemistry & Geophysics

Multiscale Convolutional Neural Networks for Geospatial Object Detection in VHR Satellite Images

Qunli Yao et al.

Summary: The study introduces an end-to-end multiscale convolutional neural network for object detection in high-resolution satellite images. By incorporating dilated bottleneck structure and unified multiscale backbone EssNet, it achieves high-quality feature extraction and effective multiscale object detection.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2021)

Article Geochemistry & Geophysics

Cross-Scale Feature Fusion for Object Detection in Optical Remote Sensing Images

Gong Cheng et al.

Summary: There are many groundbreaking object detection frameworks used in natural scene images, but applying them directly to remote sensing images is not very effective. This paper proposes an end-to-end cross-scale feature fusion (CSFF) framework to address the challenges of object detection in optical remote sensing images, achieving a 3.0% improvement in mAP on the DIOR dataset compared to Faster R-CNN with FPN.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2021)

Article Geochemistry & Geophysics

Learning Center Probability Map for Detecting Objects in Aerial Images

Jinwang Wang et al.

Summary: This article proposes to convert the OBB regression problem into a CenterMap prediction problem, which largely eliminates ambiguities and improves efficiency and accuracy.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

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)

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)

Article Computer Science, Artificial Intelligence

A spatial-channel progressive fusion ResNet for remote sensing classification

Hao Zhu et al.

Summary: In this paper, a spatial-channel progressive fusion residual network (SCPF-ResNet) for multi-resolution remote sensing classification is proposed, utilizing interactive data fusion strategy and adaptive attention modules to enhance feature extraction efficiency, ultimately achieving competitive performance.

INFORMATION FUSION (2021)

Article Engineering, Electrical & Electronic

Bearing Fault Diagnosis Based on Clustering and Sparse Representation in Frequency Domain

Yixiang Lu et al.

Summary: The article presents an effective fault diagnosis algorithm for rolling bearings based on clustering and sparse representation, which reduces noise in test samples, improves diagnostic accuracy, and outperforms other fault diagnosis methods.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Proceedings Paper Computer Science, Artificial Intelligence

Proposal Learning for Semi-Supervised Object Detection

Peng Tang et al.

Summary: This paper focuses on semi-supervised object detection by training on both labeled and unlabeled data to boost performance. A proposal learning approach is presented to extract context-aware and noise-robust features, leading to improvements in semi-supervised object detection performance.

2021 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION WACV 2021 (2021)

Article Geochemistry & Geophysics

Gated and Axis-Concentrated Localization Network for Remote Sensing Object Detection

Xiaoqiang Lu et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Geography, Physical

Object detection in optical remote sensing images: A survey and a new benchmark

Ke Li et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Multi-Scale Spatial and Channel-wise Attention for Improving Object Detection in Remote Sensing Imagery

Jie Chen et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)

Article Geochemistry & Geophysics

FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery

Peijin Wang et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

A Rotational Libra R-CNN Method for Ship Detection

Haoyuan Guo et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Computer Science, Artificial Intelligence

A Dual-Branch Attention fusion deep network for multiresolution remote-Sensing image classification

Hao Zhu et al.

INFORMATION FUSION (2020)

Article Engineering, Electrical & Electronic

High-Level Semantic Networks for Multi-Scale Object Detection

Jiale Cao et al.

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

Article Computer Science, Artificial Intelligence

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

Danfeng Hong et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)

Review Geography, Physical

Deep learning in remote sensing applications: A meta-analysis and review

Lei Ma et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)

Proceedings Paper Computer Science, Artificial Intelligence

SNIDER: Single Noisy Image Denoising and Rectification for Improving License Plate Recognition

Younkwan Lee et al.

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

Proceedings Paper Computer Science, Artificial Intelligence

BASNet: Boundary-Aware Salient Object Detection

Xuebin Qin et al.

2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)

Proceedings Paper Imaging Science & Photographic Technology

A SINGLE-SHOT OBJECT DETECTOR WITH FEATURE AGGREGATION AND ENHANCEMENT

Weiqiang Li et al.

2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (2019)

Proceedings Paper Geosciences, Multidisciplinary

MERGENET: FEATURE-MERGED NETWORK FOR MULTI-SCALE OBJECT DETECTION IN REMOTE SENSING IMAGES

Peijin Wang et al.

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) (2019)

Proceedings Paper Engineering, Electrical & Electronic

Real-time Single Object Detection on The UAV

Hsiang-Huang Wu et al.

2019 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS' 19) (2019)

Article Geography, Physical

Multi-scale object detection in remote sensing imagery with convolutional neural networks

Zhipeng Deng et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)

Article Geography, Physical

A light and faster regional convolutional neural network for object detection in optical remote sensing images

Peng Ding et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)

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)

Review Geography, Physical

A survey on object detection in optical remote sensing images

Gong Cheng et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)

Article Engineering, Electrical & Electronic

An adaptive gamma correction for image enhancement

Shanto Rahman et al.

EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING (2016)

Proceedings Paper Computer Science, Artificial Intelligence

Fast R-CNN

Ross Girshick

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

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)

Article Computer Science, Artificial Intelligence

Adaptive image contrast enhancement using generalizations of histogram equalization

JA Stark

IEEE TRANSACTIONS ON IMAGE PROCESSING (2000)