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Minimax Bridgeness-Based Clustering for Hyperspectral Data

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1162

2020

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A Novel Mean-Shift Algorithm for Data Clustering

IEEE access, 2022-01, Vol.10, p.14575-14585

2022

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Hierarchical Unsupervised Partitioning of Large Size Data and Its Application to Hyperspectral Images

Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (23), p.4874

2021

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Improving K-Nearest Neighbor Approaches for Density-Based Pixel Clustering in Hyperspectral Remote Sensing Images

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (22), p.3745-29

2020

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Unsupervised Nearest Neighbors Clustering With Application to Hyperspectral Images

IEEE journal of selected topics in signal processing, 2015-09, Vol.9 (6), p.1105-1116

2015

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Learning or assessment of classification algorithms relying on biased ground truth data: what interest?

Journal of applied remote sensing, 2019-09, Vol.13 (3), p.1

2019

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Autonomous method for selection or validation of training samples for large size hyperspectral images

Journal of applied remote sensing, 2023-07, Vol.17 (3)

2023

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Improved Nearest Neighbor Density-Based Clustering Techniques with Application to Hyperspectral Images

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.4127-4131

2020

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BandClust: An Unsupervised Band Reduction Method for Hyperspectral Remote Sensing

IEEE geoscience and remote sensing letters, 2011-05, Vol.8 (3), p.565-569

2011

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Unsupervised texture segmentation/classification using 2-D autoregressive modeling and the stochastic expectation-maximization algorithm

Pattern recognition letters, 2008-05, Vol.29 (7), p.905-917

2008

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Assessing the performance of two unsupervised dimensionality reduction techniques on hyperspectral APEX data for high resolution urban land-cover mapping

ISPRS journal of photogrammetry and remote sensing, 2014-01, Vol.87, p.166-179

2014

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Pixel classification of large-size hyperspectral images by affinity propagation

Journal of applied remote sensing, 2014-08, Vol.8 (1), p.83567

2014

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Stable and unsupervised fuzzy C-means method and its validation in the context of multicomponent images

Journal of electronic imaging, 2015-11, Vol.24 (6), p.61117

2015

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Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information : Special issue on data fusion

IEEE transactions on geoscience and remote sensing, 2008, Vol.46 (5), p.1290-1300

2008

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Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information

IEEE transactions on geoscience and remote sensing, 2008-05, Vol.46 (5), p.1290-1300

2008

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Partitioning of Hyperspectral Images in Main Categories and Fine Classes

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.7269-7272

2023

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Unsupervised and Automatic Training Samples Selection Method

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, p.271-274

2022

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A new k-nearest neighbor density-based clustering method and its application to hyperspectral images

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016, p.6161-6164

2016

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Data Stream Unsupervised Partitioning Based on Optimized Fuzzy C-Means

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.7265-7268

2023

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Data Stream Unsupervised Partitioning Method

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, p.413-416

2022

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Fully automated mosaicking of pushbroom aerial imagery

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, p.1105-1108

2008

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Parameter-Free Density Estimation for Hyperspectral Image Clustering

2018 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2018, p.1-6

2018

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Non Parametric Stochastic Expectation Maximization for Data Clustering

E-business and Telecommunications, p.293-303

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Towards a completely blind classifier for hyperspectral images

2017 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2017, p.1-6

2017

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A Scale and Rotation Parameters Estimator Application to Technical Document Interpretation

Graphics Recognition Algorithms and Applications, 2002, p.266-272

2002

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Minimax Bridgeness-Based Clustering for Hyperspectral Data

A Novel Mean-Shift Algorithm for Data Clustering

Hierarchical Unsupervised Partitioning of Large Size Data and Its Application to Hyperspectral Images

Improving K-Nearest Neighbor Approaches for Density-Based Pixel Clustering in Hyperspectral Remote Sensing Images

Unsupervised Nearest Neighbors Clustering With Application to Hyperspectral Images

Learning or assessment of classification algorithms relying on biased ground truth data: what interest?

Autonomous method for selection or validation of training samples for large size hyperspectral images

Improved Nearest Neighbor Density-Based Clustering Techniques with Application to Hyperspectral Images

BandClust: An Unsupervised Band Reduction Method for Hyperspectral Remote Sensing

Unsupervised texture segmentation/classification using 2-D autoregressive modeling and the stochastic expectation-maximization algorithm

Assessing the performance of two unsupervised dimensionality reduction techniques on hyperspectral APEX data for high resolution urban land-cover mapping

Pixel classification of large-size hyperspectral images by affinity propagation

Stable and unsupervised fuzzy C-means method and its validation in the context of multicomponent images

Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information : Special issue on data fusion

Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information

Partitioning of Hyperspectral Images in Main Categories and Fine Classes

Unsupervised and Automatic Training Samples Selection Method

A new k-nearest neighbor density-based clustering method and its application to hyperspectral images

Data Stream Unsupervised Partitioning Based on Optimized Fuzzy C-Means

Data Stream Unsupervised Partitioning Method

Fully automated mosaicking of pushbroom aerial imagery

Parameter-Free Density Estimation for Hyperspectral Image Clustering

Non Parametric Stochastic Expectation Maximization for Data Clustering

Towards a completely blind classifier for hyperspectral images

A Scale and Rotation Parameters Estimator Application to Technical Document Interpretation

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