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Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey

Remote sensing (Basel, Switzerland), 2022-12, Vol.14 (23), p.6017

2022

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Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods

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

2021

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From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (3), p.461

2021

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Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images

Remote sensing (Basel, Switzerland), 2018-11, Vol.10 (11), p.1690

2018

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Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami

Remote sensing (Basel, Switzerland), 2019-05, Vol.11 (9), p.1123

2019

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Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4713

2021

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The Use of Saliency in Underwater Computer Vision: A Review

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (1), p.22

2021

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A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (6), p.684

2019

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Learning Point Processes and Convolutional Neural Networks for Object Detection in Satellite Images

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (6), p.1019

2024

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Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (5), p.758

2020

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AdaSplats: Adaptive Splatting of Point Clouds for Accurate 3D Modeling and Real-Time High-Fidelity LiDAR Simulation

Remote sensing (Basel, Switzerland), 2022-12, Vol.14 (24), p.6262

2022

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Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles

Remote sensing (Basel, Switzerland), 2021-03, Vol.13 (5), p.849

2021

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Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning

Remote sensing (Basel, Switzerland), 2021-04, Vol.13 (7), p.1294

2021

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Super-Resolution-Based Snake Model—An Unsupervised Method for Large-Scale Building Extraction Using Airborne LiDAR Data and Optical Image

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1702

2020

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Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (15), p.3689

2022

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Toward a Yearly Country-Scale CORINE Land-Cover Map without Using Images: A Map Translation Approach

Remote sensing (Basel, Switzerland), 2021-03, Vol.13 (6), p.1060

2021

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Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory

Remote sensing (Basel, Switzerland), 2016-08, Vol.8 (8), p.653

2016

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Unsupervised Cluster-Wise Hyperspectral Band Selection for Classification

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (21), p.5374

2022

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Simulation and Analysis of Photogrammetric UAV Image Blocks—Influence of Camera Calibration Error

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.22

2020

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Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (2), p.339

2022

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Offshore Oil Slick Detection: From Photo-Interpreter to Explainable Multi-Modal Deep Learning Models Using SAR Images and Contextual Data

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (15), p.3565

2022

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End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing

Remote sensing (Basel, Switzerland), 2022-07, Vol.14 (14), p.3341

2022

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Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (14), p.2789

2021

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Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1816

2020

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Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4599

2021

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Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey

Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods

From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning

Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images

Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami

Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping

The Use of Saliency in Underwater Computer Vision: A Review

A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks

Learning Point Processes and Convolutional Neural Networks for Object Detection in Satellite Images

Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement

AdaSplats: Adaptive Splatting of Point Clouds for Accurate 3D Modeling and Real-Time High-Fidelity LiDAR Simulation

Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles

Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning

Super-Resolution-Based Snake Model—An Unsupervised Method for Large-Scale Building Extraction Using Airborne LiDAR Data and Optical Image

Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images

Toward a Yearly Country-Scale CORINE Land-Cover Map without Using Images: A Map Translation Approach

Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory

Unsupervised Cluster-Wise Hyperspectral Band Selection for Classification

Simulation and Analysis of Photogrammetric UAV Image Blocks—Influence of Camera Calibration Error

Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images

Offshore Oil Slick Detection: From Photo-Interpreter to Explainable Multi-Modal Deep Learning Models Using SAR Images and Contextual Data

End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing

Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods

Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder

Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series

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