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A Deep Learning Method of Water Body Extraction From High Resolution Remote Sensing Images With Multisensors

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.3120-3132

2021

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Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (2), p.162

2021

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Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on a Multiscale Feature Connected Convolutional Neural Network

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (3), p.300

2019

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Building Extraction in Very High Resolution Imagery by Dense-Attention Networks

Remote sensing (Basel, Switzerland), 2018-11, Vol.10 (11), p.1768

2018

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Automatic Road Extraction from High-Resolution Remote Sensing Images Using a Method Based on Densely Connected Spatial Feature-Enhanced Pyramid

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.3-17

2021

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Mapping Impervious Surface Distribution with Integration of SNNP VIIRS-DNB and MODIS NDVI Data

Remote sensing (Basel, Switzerland), 2015-09, Vol.7 (9), p.12459-12477

2015

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An Improved Method for Road Extraction from High-Resolution Remote-Sensing Images that Enhances Boundary Information

Sensors (Basel, Switzerland), 2020-04, Vol.20 (7), p.2064

2020

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Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features

Sensors (Basel, Switzerland), 2019-06, Vol.19 (12), p.2792

2019

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Deep Learning Method Based on Spectral Characteristic Rein-Forcement for the Extraction of Winter Wheat Planting Area in Complex Agricultural Landscapes

Remote sensing (Basel, Switzerland), 2023-03, Vol.15 (5), p.1301

2023

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Machine learning-based inversion of water quality parameters in typical reach of the urban river by UAV multispectral data

Ecological indicators, 2021-12, Vol.133, p.108434, Article 108434

2021

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Urban river water quality monitoring based on self-optimizing machine learning method using multi-source remote sensing data

Ecological indicators, 2023-02, Vol.146, p.109750, Article 109750

2023

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Remote Sensing Crop Recognition by Coupling Phenological Features and Off-Center Bayesian Deep Learning

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (3), p.674

2023

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Weakly-Supervised Domain Adaptation With Adversarial Entropy for Building Segmentation in Cross-Domain Aerial Imagery

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.8407-8418

2021

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Estimation of PM2.5 Concentration Using Deep Bayesian Model Considering Spatial Multiscale

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4545

2021

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Physical-Based Spatial-Spectral Deep Fusion Network for Chlorophyll-a Estimation Using MODIS and Sentinel-2 MSI Data

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (22), p.5828

2022

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A Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (21), p.5455

2022

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Monitoring Seasonal and Diurnal Surface Urban Heat Islands Variations Using Landsat-Scale Data in Hefei, China, 2000-2017

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.6410-6423

2020

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Vegetation segmentation using oblique photogrammetry point clouds based on RSPT network

International journal of digital earth, 2024-12, Vol.17 (1)

2024

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A Framework to Calculate Annual Landscape Ecological Risk Index Based on Land Use/Land Cover Changes: A Case Study on Shengjin Lake Wetland

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.11926-11935

2021

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Full-coverage spatiotemporal estimation of surface ozone over China based on a high-efficiency deep learning model

International journal of applied earth observation and geoinformation, 2023-04, Vol.118, p.103284, Article 103284

2023

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Time-Series-Based Spatiotemporal Fusion Network for Improving Crop Type Mapping

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (2), p.235

2024

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A Heterogeneity-Enhancement and Homogeneity-Restraint Network (HEHRNet) for Change Detection from Very High-Resolution Remote Sensing Imagery

Remote sensing (Basel, Switzerland), 2023-11, Vol.15 (22), p.5425

2023

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Dual-Dimension Feature Interaction for Semantic Change Detection in Remote Sensing Images

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.9595-9605

2024

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Water Body Automated Extraction in Polarization SAR Images With Dense-Coordinate-Feature-Concatenate Network

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.12073-12087

2021

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Multi-Feature Enhanced Building Change Detection Based on Semantic Information Guidance

Remote sensing (Basel, Switzerland), 2021-10, Vol.13 (20), p.4171

2021

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A Deep Learning Method of Water Body Extraction From High Resolution Remote Sensing Images With Multisensors

Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms

Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on a Multiscale Feature Connected Convolutional Neural Network

Building Extraction in Very High Resolution Imagery by Dense-Attention Networks

Automatic Road Extraction from High-Resolution Remote Sensing Images Using a Method Based on Densely Connected Spatial Feature-Enhanced Pyramid

Mapping Impervious Surface Distribution with Integration of SNNP VIIRS-DNB and MODIS NDVI Data

An Improved Method for Road Extraction from High-Resolution Remote-Sensing Images that Enhances Boundary Information

Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features

Deep Learning Method Based on Spectral Characteristic Rein-Forcement for the Extraction of Winter Wheat Planting Area in Complex Agricultural Landscapes

Machine learning-based inversion of water quality parameters in typical reach of the urban river by UAV multispectral data

Urban river water quality monitoring based on self-optimizing machine learning method using multi-source remote sensing data

Remote Sensing Crop Recognition by Coupling Phenological Features and Off-Center Bayesian Deep Learning

Weakly-Supervised Domain Adaptation With Adversarial Entropy for Building Segmentation in Cross-Domain Aerial Imagery

Estimation of PM2.5 Concentration Using Deep Bayesian Model Considering Spatial Multiscale

Physical-Based Spatial-Spectral Deep Fusion Network for Chlorophyll-a Estimation Using MODIS and Sentinel-2 MSI Data

A Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network

Monitoring Seasonal and Diurnal Surface Urban Heat Islands Variations Using Landsat-Scale Data in Hefei, China, 2000-2017

Vegetation segmentation using oblique photogrammetry point clouds based on RSPT network

A Framework to Calculate Annual Landscape Ecological Risk Index Based on Land Use/Land Cover Changes: A Case Study on Shengjin Lake Wetland

Full-coverage spatiotemporal estimation of surface ozone over China based on a high-efficiency deep learning model

Time-Series-Based Spatiotemporal Fusion Network for Improving Crop Type Mapping

A Heterogeneity-Enhancement and Homogeneity-Restraint Network (HEHRNet) for Change Detection from Very High-Resolution Remote Sensing Imagery

Dual-Dimension Feature Interaction for Semantic Change Detection in Remote Sensing Images

Water Body Automated Extraction in Polarization SAR Images With Dense-Coordinate-Feature-Concatenate Network

Multi-Feature Enhanced Building Change Detection Based on Semantic Information Guidance

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