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Meta-FSEO: A Meta-Learning Fast Adaptation with Self-Supervised Embedding Optimization for Few-Shot Remote Sensing Scene Classification

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (14), p.2776

2021

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Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (2), p.196

2019

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Self-Supervision and Self-Distillation with Multilayer Feature Contrast for Supervision Collapse in Few-Shot Remote Sensing Scene Classification

Remote sensing (Basel, Switzerland), 2022-07, Vol.14 (13), p.3111

2022

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Dual Learning-Based Siamese Framework for Change Detection Using Bi-Temporal VHR Optical Remote Sensing Images

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1292

2019

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Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1095

2020

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Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (15), p.2495

2020

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Few-Shot Classification of Aerial Scene Images via Meta-Learning

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (1), p.108

2021

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A Review of Deep Learning in Multiscale Agricultural Sensing

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (3), p.559

2022

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Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.7

2020

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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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A GA-Based Multi-View, Multi-Learner Active Learning Framework for Hyperspectral Image Classification

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (2), p.297

2020

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Few-Shot Remote Sensing Image Scene Classification Based on Metric Learning and Local Descriptors

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (3), p.831

2023

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Deep Relation Network for Hyperspectral Image Few-Shot Classification

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.923

2020

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Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval

Remote sensing (Basel, Switzerland), 2017-05, Vol.9 (5), p.489

2017

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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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UAV Maneuvering Target Tracking in Uncertain Environments Based on Deep Reinforcement Learning and Meta-Learning

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (22), p.3789

2020

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A Framework Integrating DeeplabV3+, Transfer Learning, Active Learning, and Incremental Learning for Mapping Building Footprints

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (19), p.4738

2022

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Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.346

2020

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Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (3), p.592

2022

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Assessment of Machine and Deep Learning Approaches for Fault Diagnosis in Photovoltaic Systems Using Infrared Thermography

Remote sensing (Basel, Switzerland), 2023-03, Vol.15 (6), p.1686

2023

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Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (14), p.2234

2020

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Landslide Detection from Open Satellite Imagery Using Distant Domain Transfer Learning

Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (17), p.3383

2021

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Weakly Supervised Classification of Hyperspectral Image Based on Complementary Learning

Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (24), p.5009

2021

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Satellite Image Time Series Analysis for Big Earth Observation Data

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (13), p.2428

2021

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Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1667

2020

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Meta-FSEO: A Meta-Learning Fast Adaptation with Self-Supervised Embedding Optimization for Few-Shot Remote Sensing Scene Classification

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

Self-Supervision and Self-Distillation with Multilayer Feature Contrast for Supervision Collapse in Few-Shot Remote Sensing Scene Classification

Dual Learning-Based Siamese Framework for Change Detection Using Bi-Temporal VHR Optical Remote Sensing Images

Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review

Few-Shot Classification of Aerial Scene Images via Meta-Learning

A Review of Deep Learning in Multiscale Agricultural Sensing

Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data

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

A GA-Based Multi-View, Multi-Learner Active Learning Framework for Hyperspectral Image Classification

Few-Shot Remote Sensing Image Scene Classification Based on Metric Learning and Local Descriptors

Deep Relation Network for Hyperspectral Image Few-Shot Classification

Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval

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

UAV Maneuvering Target Tracking in Uncertain Environments Based on Deep Reinforcement Learning and Meta-Learning

A Framework Integrating DeeplabV3+, Transfer Learning, Active Learning, and Incremental Learning for Mapping Building Footprints

Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models

Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images

Assessment of Machine and Deep Learning Approaches for Fault Diagnosis in Photovoltaic Systems Using Infrared Thermography

Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran

Landslide Detection from Open Satellite Imagery Using Distant Domain Transfer Learning

Weakly Supervised Classification of Hyperspectral Image Based on Complementary Learning

Satellite Image Time Series Analysis for Big Earth Observation Data

Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends

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