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Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images

IEEE transactions on geoscience and remote sensing, 2019-06, Vol.57 (6), p.3677-3693

2019

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Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding

IEEE transactions on geoscience and remote sensing, 2021-03, Vol.59 (3), p.1917-1929

2021

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Fast and Robust Matching for Multimodal Remote Sensing Image Registration

IEEE transactions on geoscience and remote sensing, 2019-11, Vol.57 (11), p.9059-9070

2019

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A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and Challenges

IEEE geoscience and remote sensing magazine, 2019-06, Vol.7 (2), p.140-158

2019

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A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

IEEE transactions on geoscience and remote sensing, 2007-01, Vol.45 (1), p.218-236

2007

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A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images

IEEE transactions on geoscience and remote sensing, 2012-06, Vol.50 (6), p.2196-2212

2012

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Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images

IEEE transactions on geoscience and remote sensing, 2015-01, Vol.53 (1), p.244-260

2015

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Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (23), p.3984

2020

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Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images

IEEE transactions on geoscience and remote sensing, 2015-08, Vol.53 (8), p.4363-4378

2015

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The Time Variable in Data Fusion: A Change Detection Perspective

IEEE geoscience and remote sensing magazine, 2015-09, Vol.3 (3), p.8-26

2015

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URS: An Unsupervised Radargram Segmentation Network Based on Self-Supervised ViT With Contrastive Feature Learning Framework

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.15512-15524

2024

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A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment

IEEE transactions on geoscience and remote sensing, 2007-06, Vol.45 (6), p.1658-1670

2007

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Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (15), p.2381

2020

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CNN-based burned area mapping using radar and optical data

Remote sensing of environment, 2021-07, Vol.260, p.112468, Article 112468

2021

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Deep-Learning-Based Retrieval of an Orange Band Sensitive to Cyanobacteria for Landsat-8/9 and Sentinel-2

IEEE journal of selected topics in applied earth observations and remote sensing, 2023, Vol.16, p.3929-3937

2023

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Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach

IEEE transactions on geoscience and remote sensing, 2013-01, Vol.51 (1), p.300-312

2013

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Bathymetry retrieval from CubeSat image sequences with short time lags

International journal of applied earth observation and geoinformation, 2022-08, Vol.112, p.102958, Article 102958

2022

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A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation

IEEE journal of selected topics in applied earth observations and remote sensing, 2023, Vol.16, p.2147-2162

2023

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Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

IEEE geoscience and remote sensing magazine, 2019-03, Vol.7 (1), p.6-39

2019

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Inter-Comparison of Methods for Chlorophyll-a Retrieval: Sentinel-2 Time-Series Analysis in Italian Lakes

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (12), p.2381

2021

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A Novel Technique Based on Deep Learning and a Synthetic Target Database for Classification of Urban Areas in PolSAR Data

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-01, Vol.11 (1), p.154-170

2018

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River Bathymetry Retrieval From Landsat-9 Images Based on Neural Networks and Comparison to SuperDove and Sentinel-2

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.5250-5260

2022

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Remote Sensing and Deep Learning to Understand Noisy OpenStreetMap

Remote sensing (Basel, Switzerland), 2023-09, Vol.15 (18), p.4639

2023

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Water Quality Retrieval from Landsat-9 (OLI-2) Imagery and Comparison to Sentinel-2

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (18), p.4596

2022

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An Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors

Remote sensing (Basel, Switzerland), 2018-04, Vol.10 (4), p.533

2018

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Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images

Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding

Fast and Robust Matching for Multimodal Remote Sensing Image Registration

A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and Challenges

A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images

Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images

Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2

Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images

The Time Variable in Data Fusion: A Change Detection Perspective

URS: An Unsupervised Radargram Segmentation Network Based on Self-Supervised ViT With Contrastive Feature Learning Framework

A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment

Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon

CNN-based burned area mapping using radar and optical data

Deep-Learning-Based Retrieval of an Orange Band Sensitive to Cyanobacteria for Landsat-8/9 and Sentinel-2

Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach

Bathymetry retrieval from CubeSat image sequences with short time lags

A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation

Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

Inter-Comparison of Methods for Chlorophyll-a Retrieval: Sentinel-2 Time-Series Analysis in Italian Lakes

A Novel Technique Based on Deep Learning and a Synthetic Target Database for Classification of Urban Areas in PolSAR Data

River Bathymetry Retrieval From Landsat-9 Images Based on Neural Networks and Comparison to SuperDove and Sentinel-2

Remote Sensing and Deep Learning to Understand Noisy OpenStreetMap

Water Quality Retrieval from Landsat-9 (OLI-2) Imagery and Comparison to Sentinel-2

An Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors

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