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Learning to Understand Remote Sensing Images: Volume 2

Wang, Qi

2019

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Lightweight Attention Network for Very High Resolution Image Semantic Segmentation

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1

2023

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IEEE_Xplore

Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (14), p.2225

2020

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Enhancing the Detection of Coastal Marine Debris in Very High Resolution Satellite Imagery via Unsupervised Domain Adaptation

IEEE journal of selected topics in applied earth observations and remote sensing, 2024-01, Vol.17, p.1-16

2024

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Remote‐sensing‐derived fractures and shrub patterns to identify groundwater dependence

Ecohydrology, 2018-09, Vol.11 (6), p.n/a

2018

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Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images

IEEE transactions on geoscience and remote sensing, 2019-06, Vol.57 (6), p.3677-3693

2019

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IEEE_Xplore

Very High Resolution (Vhr) Satellite Imagery : Processing and Applications

2019

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Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding

IEEE transactions on geoscience and remote sensing, 2021-03, Vol.59 (3), p.1917-1929

2021

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IEEE_Xplore

Learning to Understand Remote Sensing Images

Wang, Qi

2019

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High-precision motion compensation for very-high-resolution SAR imaging

Journal of engineering (Stevenage, England), 2019-10, Vol.2019 (19), p.5753-5757

2019

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Graph convolutional network for multi-label VHR remote sensing scene recognition

Neurocomputing (Amsterdam), 2019-09, Vol.357, p.36-46

2019

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Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation

ISPRS journal of photogrammetry and remote sensing, 2022-09, Vol.191, p.105-128

2022

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A Critical Comparison Among Pansharpening Algorithms

IEEE transactions on geoscience and remote sensing, 2015-05, Vol.53 (5), p.2565-2586

2015

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IEEE_Xplore

A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images

Proceedings of the IEEE, 2013-03, Vol.101 (3), p.609-630

2013

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IEEE_Xplore

Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

IEEE transactions on geoscience and remote sensing, 2020-04, Vol.58 (4), p.2848-2864

2020

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IEEE_Xplore

Building Change Detection in Multitemporal Very High Resolution SAR Images

IEEE transactions on geoscience and remote sensing, 2015-05, Vol.53 (5), p.2664-2682

2015

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IEEE_Xplore

Morphological Attribute Profiles for the Analysis of Very High Resolution Images

IEEE transactions on geoscience and remote sensing, 2010-10, Vol.48 (10), p.3747-3762

2010

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IEEE_Xplore

Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images

IEEE transactions on image processing, 2023-01, Vol.32, p.57-71

2023

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IEEE_Xplore

Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia

International journal of applied earth observation and geoinformation, 2023-12, Vol.125, p.103524, Article 103524

2023

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On the Co-Selection of Vision Transformer Features and Images for Very High-Resolution Image Scene Classification

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (22), p.5817

2022

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A New Method for Region-Based Majority Voting CNNs for Very High Resolution Image Classification

Remote sensing (Basel, Switzerland), 2018-12, Vol.10 (12), p.1946

2018

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An Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors

Remote sensing (Basel, Switzerland), 2018-04, Vol.10 (4), p.533

2018

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Learning spectral-spatial representations from VHR images for fine-scale crop type mapping: A case study of rice-crayfish field extraction in South China

ISPRS journal of photogrammetry and remote sensing, 2023-05, Vol.199, p.28-39

2023

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A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.6102-6118

2021

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Sub-meter tree height mapping of California using aerial images and LiDAR-informed U-Net model

Remote sensing of environment, 2024-05, Vol.305, p.114099, Article 114099

2024

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Learning to Understand Remote Sensing Images: Volume 2

Lightweight Attention Network for Very High Resolution Image Semantic Segmentation

Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images

Enhancing the Detection of Coastal Marine Debris in Very High Resolution Satellite Imagery via Unsupervised Domain Adaptation

Remote‐sensing‐derived fractures and shrub patterns to identify groundwater dependence

Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images

Very High Resolution (Vhr) Satellite Imagery : Processing and Applications

Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding

Learning to Understand Remote Sensing Images

High-precision motion compensation for very-high-resolution SAR imaging

Graph convolutional network for multi-label VHR remote sensing scene recognition

Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation

A Critical Comparison Among Pansharpening Algorithms

A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images

Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

Building Change Detection in Multitemporal Very High Resolution SAR Images

Morphological Attribute Profiles for the Analysis of Very High Resolution Images

Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images

Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia

On the Co-Selection of Vision Transformer Features and Images for Very High-Resolution Image Scene Classification

A New Method for Region-Based Majority Voting CNNs for Very High Resolution Image Classification

An Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors

Learning spectral-spatial representations from VHR images for fine-scale crop type mapping: A case study of rice-crayfish field extraction in South China

A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment

Sub-meter tree height mapping of California using aerial images and LiDAR-informed U-Net model

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