4.7 Article

Extracting buildings from high-resolution remote sensing images by deep ConvNets equipped with structural-cue-guided feature alignment

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Comparative analysis of deep learning based building extraction methods with the new VHR Istanbul dataset

Tolga Bakirman et al.

Summary: Automatic building segmentation is a crucial task for various applications, and deep learning-based techniques have been widely adopted. In this study, a new building dataset called the Istanbul dataset was generated for building segmentation. The researchers conducted extensive experiments to explore the ideal architecture and parameters for this task using the Istanbul dataset. The results demonstrated that the Unet++ architecture with the SE-ResNeXt101 encoder pretrained on ImageNet achieved the best performance on the Istanbul dataset.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

Article Geochemistry & Geophysics

Unsupervised Recurrent Hyperspectral Imagery Super-Resolution Using Pixel-Aware Refinement

Wei Wei et al.

Summary: This study investigates a fusion-based hyperspectral imagery super-resolution framework with the deep image prior and unsupervised recurrence, aiming to improve accuracy and robustness.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Article Environmental Sciences

DR-Net: An Improved Network for Building Extraction from High Resolution Remote Sensing Image

Meng Chen et al.

Summary: In this study, a dense residual neural network (DR-Net) was proposed for building extraction from remote sensing imagery. DR-Net outperformed other state-of-the-art methods in terms of Intersection over Union (IoU) and F1 score on both WHU Building Dataset and Massachusetts Building Dataset. The experimental results showed significant improvements in accuracy compared to existing methods.

REMOTE SENSING (2021)

Review Computer Science, Artificial Intelligence

A review of deep learning methods for semantic segmentation of remote sensing imagery

Xiaohui Yuan et al.

Summary: This paper reviews the application of deep learning methods for semantic segmentation of remote sensing imagery and identifies challenges in handling non-traditional data as well as small datasets. Researchers are still facing difficulties in developing and evaluating new deep learning methods for remote sensing analysis.

EXPERT SYSTEMS WITH APPLICATIONS (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 Engineering, Electrical & Electronic

Attention-Gate-Based Encoder-Decoder Network for Automatical Building Extraction

Wenjing Deng et al.

Summary: This paper introduces a new method for building extraction using a stable encoder-decoder architecture, grid-based attention gate, and atrous spatial pyramid pooling module. The experiments demonstrate that the proposed method outperforms other recent models, showing potential for extracting buildings of different scales.

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

Article Geochemistry & Geophysics

Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network

Sheng Wan et al.

Summary: A new HSI classification method based on GCN is proposed in this study, with two novel strategies adopted to further exploit contextual relations for accurate classification. Experimental results demonstrate the effectiveness of the proposed method.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

Article Geochemistry & Geophysics

Toward Automatic Building Footprint Delineation From Aerial Images Using CNN and Regularization

Shiqing Wei et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Computer Science, Interdisciplinary Applications

UNet plus plus : Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Zongwei Zhou et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)

Article Environmental Sciences

Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network

Jingjing Ma et al.

REMOTE SENSING (2020)

Article Engineering, Electrical & Electronic

Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

Gong Cheng et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

Shunping Ji et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (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)

Article Computer Science, Artificial Intelligence

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Liang-Chieh Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Article Environmental Sciences

A Multiple-Feature Reuse Network to Extract Buildings from Remote Sensing Imagery

Lin Li et al.

REMOTE SENSING (2018)

Article Construction & Building Technology

Autonomous Building Detection Using Edge Properties and Image Color Invariants

Ali J. Ghandour et al.

BUILDINGS (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Progressive Attention Guided Recurrent Network for Salient Object Detection

Xiaoning Zhang et al.

2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)

Article Remote Sensing

Building extraction in satellite images using active contours and colour features

Gregoris Liasis et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2016)