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Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-19

2022

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Edge-Enhanced GAN for Remote Sensing Image Superresolution

IEEE transactions on geoscience and remote sensing, 2019-08, Vol.57 (8), p.5799-5812

2019

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

IEEE transactions on geoscience and remote sensing, 2019-01, Vol.57 (1), p.574-586

2019

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Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval

IEEE transactions on geoscience and remote sensing, 2018-11, Vol.56 (11), p.6521-6536

2018

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Large-Scale Remote Sensing Image Retrieval by Deep Hashing Neural Networks

IEEE transactions on geoscience and remote sensing, 2018-02, Vol.56 (2), p.950-965

2018

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Changer: Feature Interaction is What You Need for Change Detection

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

2023

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Cross-modal Hashing with Feature Semi-interaction and Semantic Ranking for Remote Sensing Ship Image Retrieval

IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1-1

2024

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Cloud Detection in Remote Sensing Images Based on Multiscale Features-Convolutional Neural Network

IEEE transactions on geoscience and remote sensing, 2019-06, Vol.57 (6), p.4062-4076

2019

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Remote Sensing Image Change Detection With Transformers

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-14

2022

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Can a Machine Generate Humanlike Language Descriptions for a Remote Sensing Image?

IEEE transactions on geoscience and remote sensing, 2017-06, Vol.55 (6), p.3623-3634

2017

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Deep Cross-Modal Image-Voice Retrieval in Remote Sensing

IEEE transactions on geoscience and remote sensing, 2020-10, Vol.58 (10), p.7049-7061

2020

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CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery

IEEE transactions on geoscience and remote sensing, 2019-12, Vol.57 (12), p.10015-10024

2019

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Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-15

2022

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Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2016-12, Vol.54 (12), p.7405-7415

2016

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SwinSUNet: Pure Transformer Network for Remote Sensing Image Change Detection

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-13

2022

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Lightweight Remote Sensing Change Detection with Progressive Feature Aggregation and Supervised Attention

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

2023

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Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-13

2022

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Optical Remote Sensing Image Change Detection Based on Attention Mechanism and Image Difference

IEEE transactions on geoscience and remote sensing, 2021-09, Vol.59 (9), p.7296-7307

2021

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Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

IEEE transactions on geoscience and remote sensing, 2017-02, Vol.55 (2), p.645-657

2017

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3-D Deep Learning Approach for Remote Sensing Image Classification

IEEE transactions on geoscience and remote sensing, 2018-08, Vol.56 (8), p.4420-4434

2018

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

IEEE transactions on geoscience and remote sensing, 2021-05, Vol.59 (5), p.4340-4354

2021

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Geographical Knowledge-Driven Representation Learning for Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-16

2022

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When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

IEEE transactions on geoscience and remote sensing, 2018-05, Vol.56 (5), p.2811-2821

2018

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Snow Property Inversion From Remote Sensing (SPIReS): A Generalized Multispectral Unmixing Approach With Examples From MODIS and Landsat 8 OLI

IEEE transactions on geoscience and remote sensing, 2021-09, Vol.59 (9), p.7270-7284

2021

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Convolutional Neural Networks for Multimodal Remote Sensing Data Classification

IEEE transactions on geoscience and remote sensing, 2022-01, Vol.60, p.1-10

2022

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Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

Edge-Enhanced GAN for Remote Sensing Image Superresolution

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

Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval

Large-Scale Remote Sensing Image Retrieval by Deep Hashing Neural Networks

Changer: Feature Interaction is What You Need for Change Detection

Cross-modal Hashing with Feature Semi-interaction and Semantic Ranking for Remote Sensing Ship Image Retrieval

Cloud Detection in Remote Sensing Images Based on Multiscale Features-Convolutional Neural Network

Remote Sensing Image Change Detection With Transformers

Can a Machine Generate Humanlike Language Descriptions for a Remote Sensing Image?

Deep Cross-Modal Image-Voice Retrieval in Remote Sensing

CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery

Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation

Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

SwinSUNet: Pure Transformer Network for Remote Sensing Image Change Detection

Lightweight Remote Sensing Change Detection with Progressive Feature Aggregation and Supervised Attention

Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images

Optical Remote Sensing Image Change Detection Based on Attention Mechanism and Image Difference

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

3-D Deep Learning Approach for Remote Sensing Image Classification

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

Geographical Knowledge-Driven Representation Learning for Remote Sensing Images

When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

Snow Property Inversion From Remote Sensing (SPIReS): A Generalized Multispectral Unmixing Approach With Examples From MODIS and Landsat 8 OLI

Convolutional Neural Networks for Multimodal Remote Sensing Data Classification

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