Computational Efficiency Active Learning for classification of hyperspectral images

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2016.7730339 ◽

2016 ◽

Author(s):

Zhongyi Sun ◽

Mingmin Chi ◽

Jon Atli Benediktsson

Keyword(s):

Active Learning ◽

Computational Efficiency ◽

Hyperspectral Images

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A Kernel-Based Extreme Learning Machine Framework for Classification of Hyperspectral Images Using Active Learning

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-019-01021-6 ◽

2019 ◽

Vol 47 (10) ◽

pp. 1693-1705

Author(s):

Monoj K. Pradhan ◽

Sonajharia Minz ◽

Vimal K. Shrivastava

Keyword(s):

Active Learning ◽

Extreme Learning Machine ◽

Hyperspectral Images ◽

Learning Machine

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Superpixel-based active learning for the classification of hyperspectral images

2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

10.1109/whispers.2015.8075388 ◽

2015 ◽

Author(s):

Zhongyi Sun ◽

Mingmin Chi

Keyword(s):

Active Learning ◽

Hyperspectral Images

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Semi-supervised multi-metric active learning for classification of hyperspectral images

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2016.7729473 ◽

2016 ◽

Author(s):

Zhou Zhang ◽

Melba M. Crawford

Keyword(s):

Active Learning ◽

Hyperspectral Images

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An ensemble active learning approach for spectral-spatial classification of hyperspectral images

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2015.7326946 ◽

2015 ◽

Author(s):

Zhou Zhang ◽

Melba M. Crawford

Keyword(s):

Active Learning ◽

Hyperspectral Images ◽

Learning Approach ◽

Spatial Classification

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A Batch-Mode Regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2017.2730583 ◽

2017 ◽

Vol 55 (11) ◽

pp. 6594-6609 ◽

Author(s):

Zhou Zhang ◽

Melba M. Crawford

Keyword(s):

Active Learning ◽

Hyperspectral Images ◽

Learning Framework

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An Adaptive Multiview Active Learning Approach for Spectral–Spatial Classification of Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2019.2952319 ◽

2020 ◽

Vol 58 (4) ◽

pp. 2557-2570 ◽

Author(s):

Zhou Zhang ◽

Edoardo Pasolli ◽

Melba M. Crawford

Keyword(s):

Active Learning ◽

Hyperspectral Images ◽

Learning Approach ◽

Spatial Classification

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Spectral-Spatial Active Learning with Superpixel Profile for Classification of Hyperspectral Images

2020 6th International Conference on Signal Processing and Communication (ICSC) ◽

10.1109/icsc48311.2020.9182764 ◽

2020 ◽

Author(s):

Kaushal Bhardwaj ◽

Arundhati Das ◽

Swarnajyoti Patra

Keyword(s):

Active Learning ◽

Hyperspectral Images

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NEURAL NETWORK CLASSIFICATION OF HYPERSPECTRAL IMAGES ON THE BASIS OF THE HILBERT-HUANG TRANSFORM

Автометрия ◽

10.15372/aut20170209 ◽

2017 ◽

Keyword(s):

Neural Network ◽

Hyperspectral Images ◽

Hilbert Huang Transform ◽

Neural Network Classification

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Classification of hyperspectral images based on multifractal features and support vector machine

Geodesy and Aerophotosurveying ◽

10.30533/0536-101x-2018-62-5-558-562 ◽

2018 ◽

Vol 62 (5) ◽

pp. 558-562

Author(s):

Uchaev D.V. ◽

◽

Uchaev Dm.V. ◽

Malinnikov V.A. ◽

◽

...

Keyword(s):

Support Vector Machine ◽

Hyperspectral Images ◽

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Hierarchical method and hyperspectral images for classification of blood stains on colored and printed fabrics

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2021.104253 ◽

2021 ◽

Vol 210 ◽

pp. 104253

Author(s):

José F.Q. Pereira ◽

Maria Fernanda Pimentel ◽

Ricardo S. Honorato ◽

Rasmus Bro

Keyword(s):

Hyperspectral Images ◽

Blood Stains ◽

Hierarchical Method

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