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Image Segmentation Using Deep Learning: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2022-07, Vol.44 (7), p.3523-3542

2022

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Advanced Spectral Classifiers for Hyperspectral Images: A review

IEEE geoscience and remote sensing magazine, 2017-03, Vol.5 (1), p.8-32

2017

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Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2019-02, Vol.57 (2), p.740-754

2019

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Tea rooms : mujeres obreras

2016

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A New Spatial-Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation

IEEE transactions on geoscience and remote sensing, 2018-06, Vol.56 (6), p.3534-3546

2018

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Volltext

Graph Convolutional Networks for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2021-07, Vol.59 (7), p.5966-5978

2021

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Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis

IEEE transactions on geoscience and remote sensing, 2017-11, Vol.55 (11), p.6354-6365

2017

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Volltext

Luisa Carnés y su contribución a la difusión del teatro de agitación y propaganda durante la guerra civil española

Anales de literatura española, 2023 (39), p.267-299

Plaza Plaza, Antonio

2023

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Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast

IEEE transactions on geoscience and remote sensing, 2021-03, Vol.59 (3), p.2598-2610

2021

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Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation

IEEE transactions on geoscience and remote sensing, 2016-04, Vol.54 (4), p.1990-2000

2016

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Volltext

Capsule Networks for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2019-04, Vol.57 (4), p.2145-2160

2019

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Circular economy, degrowth and green growth as pathways for research on sustainable development goals: A global analysis and future agenda

Ecological economics, 2021-07, Vol.185, p.107050, Article 107050

2021

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Landslide Detection Using Densely Connected Convolutional Networks and Environmental Conditions

IEEE journal of selected topics in applied earth observations and remote sensing, 2021-01, Vol.14, p.1-1

2021

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Attention mechanism-based generative adversarial networks for cloud removal in Landsat images

Remote sensing of environment, 2022-03, Vol.271, p.112902, Article 112902

2022

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A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution

IEEE transactions on geoscience and remote sensing, 2018-11, Vol.56 (11), p.6792-6810

2018

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Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise

IEEE transactions on geoscience and remote sensing, 2021-10, Vol.59 (10), p.8798-8811

2021

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Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

IEEE geoscience and remote sensing magazine, 2017-12, Vol.5 (4), p.37-78

2017

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Cloud Removal Based on Sparse Representation via Multitemporal Dictionary Learning

IEEE transactions on geoscience and remote sensing, 2016-05, Vol.54 (5), p.2998-3006

2016

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Volltext

Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing

IEEE transactions on geoscience and remote sensing, 2016-10, Vol.54 (10), p.6076-6090

2016

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Volltext

Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing

IEEE transactions on geoscience and remote sensing, 2012-11, Vol.50 (11), p.4484-4502

2012

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Volltext

Spectral-Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields

IEEE transactions on geoscience and remote sensing, 2012-03, Vol.50 (3), p.809-823

2012

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Volltext

Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning

IEEE journal of selected topics in applied earth observations and remote sensing, 2015-06, Vol.8 (6), p.2971-2983

2015

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PDBSNet: Pixel-Shuffle Downsampling Blind-Spot Reconstruction Network for Hyperspectral Anomaly Detection

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-14

2023

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Spatial-Spectral Preprocessing Prior to Endmember Identification and Unmixing of Remotely Sensed Hyperspectral Data

IEEE journal of selected topics in applied earth observations and remote sensing, 2012-04, Vol.5 (2), p.380-395

2012

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Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles

IEEE transactions on geoscience and remote sensing, 2014-08, Vol.52 (8), p.5122-5136

2014

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Image Segmentation Using Deep Learning: A Survey

Advanced Spectral Classifiers for Hyperspectral Images: A review

Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification

Tea rooms : mujeres obreras

A New Spatial-Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation

Graph Convolutional Networks for Hyperspectral Image Classification

Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis

Luisa Carnés y su contribución a la difusión del teatro de agitación y propaganda durante la guerra civil española

Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast

Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation

Capsule Networks for Hyperspectral Image Classification

Circular economy, degrowth and green growth as pathways for research on sustainable development goals: A global analysis and future agenda

Landslide Detection Using Densely Connected Convolutional Networks and Environmental Conditions

Attention mechanism-based generative adversarial networks for cloud removal in Landsat images

A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution

Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise

Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

Cloud Removal Based on Sparse Representation via Multitemporal Dictionary Learning

Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing

Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing

Spectral-Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields

Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning

PDBSNet: Pixel-Shuffle Downsampling Blind-Spot Reconstruction Network for Hyperspectral Anomaly Detection

Spatial-Spectral Preprocessing Prior to Endmember Identification and Unmixing of Remotely Sensed Hyperspectral Data

Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles

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