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Automatic Wheat Ear Counting Using Thermal Imagery

Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (7), p.751

2019

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Deep Learning-Based Change Detection in Remote Sensing Images: A Review

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.871

2022

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Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (4), p.403

2019

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Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images

Remote sensing (Basel, Switzerland), 2017-04, Vol.9 (4), p.368

2017

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HQ-ISNet: High-Quality Instance Segmentation for Remote Sensing Imagery

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.989

2020

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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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A Review of Image Super-Resolution Approaches Based on Deep Learning and Applications in Remote Sensing

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (21), p.5423

2022

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A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1662

2020

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Digital Counts of Maize Plants by Unmanned Aerial Vehicles (UAVs)

Remote sensing (Basel, Switzerland), 2017-06, Vol.9 (6), p.544

2017

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Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study

Remote sensing (Basel, Switzerland), 2017-12, Vol.9 (12), p.1220

2017

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Change Detection in Remote Sensing Images Based on Image Mapping and a Deep Capsule Network

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (6), p.626

2019

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Enhancing Remote Sensing Image Super-Resolution Guided by Bicubic-Downsampled Low-Resolution Image

Remote sensing (Basel, Switzerland), 2023-07, Vol.15 (13), p.3309

2023

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Deep Memory Connected Neural Network for Optical Remote Sensing Image Restoration

Remote sensing (Basel, Switzerland), 2018-12, Vol.10 (12), p.1893

2018

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Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1574

2020

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Multiscale Geoscene Segmentation for Extracting Urban Functional Zones from VHR Satellite Images

Remote sensing (Basel, Switzerland), 2018-02, Vol.10 (2), p.281

2018

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CCTNet: Coupled CNN and Transformer Network for Crop Segmentation of Remote Sensing Images

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (9), p.1956

2022

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Building Instance Change Detection from Large-Scale Aerial Images using Convolutional Neural Networks and Simulated Samples

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1343

2019

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Building Extraction from High-Resolution Aerial Imagery Using a Generative Adversarial Network with Spatial and Channel Attention Mechanisms

Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (8), p.917

2019

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Deep-Learning-Based Multispectral Image Reconstruction from Single Natural Color RGB Image—Enhancing UAV-Based Phenotyping

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (5), p.1272

2022

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Object-Based Change Detection Using Multiple Classifiers and Multi-Scale Uncertainty Analysis

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (3), p.359

2019

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CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral Images

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (14), p.2205

2020

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An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion

Remote sensing (Basel, Switzerland), 2019-12, Vol.11 (24), p.2898

2019

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Mapping and Classification of Ecologically Sensitive Marine Habitats Using Unmanned Aerial Vehicle (UAV) Imagery and Object-Based Image Analysis (OBIA)

Remote sensing (Basel, Switzerland), 2018-09, Vol.10 (9), p.1331

2018

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Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

Remote sensing (Basel, Switzerland), , Vol.9 (5), p.498

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Developments in Landsat Land Cover Classification Methods: A Review

Remote sensing (Basel, Switzerland), 2017-09, Vol.9 (9), p.967

2017

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Automatic Wheat Ear Counting Using Thermal Imagery

Deep Learning-Based Change Detection in Remote Sensing Images: A Review

Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data

Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images

HQ-ISNet: High-Quality Instance Segmentation for Remote Sensing Imagery

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

A Review of Image Super-Resolution Approaches Based on Deep Learning and Applications in Remote Sensing

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Digital Counts of Maize Plants by Unmanned Aerial Vehicles (UAVs)

Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study

Change Detection in Remote Sensing Images Based on Image Mapping and a Deep Capsule Network

Enhancing Remote Sensing Image Super-Resolution Guided by Bicubic-Downsampled Low-Resolution Image

Deep Memory Connected Neural Network for Optical Remote Sensing Image Restoration

Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net

Multiscale Geoscene Segmentation for Extracting Urban Functional Zones from VHR Satellite Images

CCTNet: Coupled CNN and Transformer Network for Crop Segmentation of Remote Sensing Images

Building Instance Change Detection from Large-Scale Aerial Images using Convolutional Neural Networks and Simulated Samples

Building Extraction from High-Resolution Aerial Imagery Using a Generative Adversarial Network with Spatial and Channel Attention Mechanisms

Deep-Learning-Based Multispectral Image Reconstruction from Single Natural Color RGB Image—Enhancing UAV-Based Phenotyping

Object-Based Change Detection Using Multiple Classifiers and Multi-Scale Uncertainty Analysis

CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral Images

An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion

Mapping and Classification of Ecologically Sensitive Marine Habitats Using Unmanned Aerial Vehicle (UAV) Imagery and Object-Based Image Analysis (OBIA)

Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

Developments in Landsat Land Cover Classification Methods: A Review

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