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Geocarto International Volume 37, 2022 - Issue 1
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Original Articles

Spatial-spectral classification of hyperspectral images based on multiple fractal-based features

Behnam Asghari BeiramiDepartment of Photogrammetry and Remote Sensing, K. N. Toosi University of Technology, Tehran, IranCorrespondence[email protected]
&
Mehdi MokhtarzadeDepartment of Photogrammetry and Remote Sensing, K. N. Toosi University of Technology, Tehran, Iran
Pages 231-245 | Received 31 Oct 2019, Accepted 01 Dec 2019, Published online: 30 Mar 2020

Citations (8)

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Read on this site (1)

Behnam Asghari Beirami & Mehdi Mokhtarzade. (2022) Hyperspectral image classification using multiple weighted local kernel matrix descriptors. International Journal of Remote Sensing 43:14, pages 5280-5305.
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Articles from other publishers (7)

Denis Uchaev & Dmitry Uchaev. (2023) Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering. Sensors 23:5, pages 2499.
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Qiang Xing, Jie Chen, Jieyu Liu & Baifeng Song. (2022) A Double Random Matrix Design Model for Fractal Art Patterns Based on Visual Characteristics. Mathematical Problems in Engineering 2022, pages 1-11.
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Behnam Asghari Beirami & Mehdi Mokhtarzade. (2022) Optimized weighted local kernel features for hyperspectral image classification. Multimedia Tools and Applications 81:15, pages 21859-21885.
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Behnam Asghari Beirami. (2022) Face Recognition based on Multi-shape Morphological Profiles-based Covariance Descriptors and Log- Etuclidean Kernel SVM. Face Recognition based on Multi-shape Morphological Profiles-based Covariance Descriptors and Log- Etuclidean Kernel SVM.
Arati Paul & Sanghamita Bhoumik. (2021) Classification of hyperspectral imagery using spectrally partitioned HyperUnet. Neural Computing and Applications 34:3, pages 2073-2082.
Crossref
Samriti Rana & Sachin Malhotra. (2021) Review on Satellite Image Classification based on Fractals. Review on Satellite Image Classification based on Fractals.
Behnam Asghari Beirami & Mehdi Mokhtarzade. (2020) Classification of Hyperspectral Images based on Intrinsic Image Decomposition and Deep Convolutional Neural Network. Classification of Hyperspectral Images based on Intrinsic Image Decomposition and Deep Convolutional Neural Network.

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