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A review on deep learning in UAV remote sensing

International journal of applied earth observation and geoinformation, 2021-10, Vol.102, p.102456, Article 102456

2021

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Progress and Challenges in Intelligent Remote Sensing Satellite Systems

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.1814-1822

2022

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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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Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

IEEE geoscience and remote sensing magazine, 2017-12, Vol.5 (4), p.8-36

2017

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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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A Survey on Deep Learning-Driven Remote Sensing Image Scene Understanding: Scene Classification, Scene Retrieval and Scene-Guided Object Detection

Applied sciences, 2019-05, Vol.9 (10), p.2110

2019

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Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years

Remote sensing of environment, 2019-11, Vol.233, p.111383, Article 111383

2019

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Review of oil spill remote sensing

Marine pollution bulletin, 2014-06, Vol.83 (1), p.9-23

2014

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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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Application of remote sensors in mapping rice area and forecasting its production: a review

Sensors (Basel, Switzerland), 2015-01, Vol.15 (1), p.769-791

2015

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Data acquisition considerations for Terrestrial Laser Scanning of forest plots

Remote sensing of environment, 2017-07, Vol.196, p.140-153

2017

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

ISPRS journal of photogrammetry and remote sensing, 2020-01, Vol.159, p.296-307

2020

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Global mapping of soil salinity change

Remote sensing of environment, 2019-09, Vol.231, p.111260, Article 111260

2019

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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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A Review of Oil Spill Remote Sensing

Sensors (Basel, Switzerland), 2017-12, Vol.18 (1), p.91

2017

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Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms

Remote sensing of environment, 2017-04, Vol.192, p.238-262

2017

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A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

ISPRS journal of photogrammetry and remote sensing, 2020-08, Vol.166, p.183-200

2020

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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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SUACDNet: Attentional change detection network based on siamese U-shaped structure

International journal of applied earth observation and geoinformation, 2021-12, Vol.105, p.102597, Article 102597

2021

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Air Lasing

1st Edition 2018, 2017

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Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

IEEE geoscience and remote sensing letters, 2017-05, Vol.14 (5), p.778-782

2017

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Remote sensing image super-resolution and object detection: Benchmark and state of the art

Expert systems with applications, 2022-07, Vol.197, p.116793, Article 116793

2022

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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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A review on deep learning in UAV remote sensing

Progress and Challenges in Intelligent Remote Sensing Satellite Systems

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

Edge-Enhanced GAN for Remote Sensing Image Superresolution

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

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

A Survey on Deep Learning-Driven Remote Sensing Image Scene Understanding: Scene Classification, Scene Retrieval and Scene-Guided Object Detection

Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years

Review of oil spill remote sensing

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

Application of remote sensors in mapping rice area and forecasting its production: a review

Data acquisition considerations for Terrestrial Laser Scanning of forest plots

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

Global mapping of soil salinity change

Changer: Feature Interaction is What You Need for Change Detection

A Review of Oil Spill Remote Sensing

Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms

A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

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

SUACDNet: Attentional change detection network based on siamese U-shaped structure

Air Lasing

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

Remote sensing image super-resolution and object detection: Benchmark and state of the art

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

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