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International Journal of Remote Sensing Volume 41, 2020 - Issue 19
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Research Article

Effective subspace detection based on the measurement of both the spectral and spatial information for hyperspectral image classification

Sadia Zaman Mishua Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, BangladeshCorrespondence[email protected]
,
Boshir Ahmeda Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh
,
Md. Ali Hossaina Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh
&
Md. Palash Uddinb School of IT, Deakin University, Geelong, Australia;c Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University, Dinajpur, BangladeshORCID Iconhttps://orcid.org/0000-0002-4429-6590
ORCID Icon
Pages 7541-7564 | Received 01 Jun 2019, Accepted 23 Mar 2020, Published online: 16 Jul 2020

Citations (13)

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Read on this site (5)

Xinhao Li, Mingming Xu, Shanwei Liu, Hui Sheng & Jianhua Wan. (2024) Dual-input ultralight multi-head self-attention learning network for hyperspectral image classification. International Journal of Remote Sensing 45:4, pages 1277-1303.
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Masud Ibn Afjal, Md. Nazrul Islam Mondal & Md. Al Mamun. (2023) Segmentation-based linear discriminant analysis with information theoretic feature selection for hyperspectral image classification. International Journal of Remote Sensing 44:11, pages 3412-3455.
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Md. Palash Uddin, Md. Al Mamun, Md. Ali Hossain & Masud Ibn Afjal. (2022) Improved folded-PCA for efficient remote sensing hyperspectral image classification. Geocarto International 37:25, pages 9474-9496.
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Masud Ibn Afjal, Palash Uddin, Al Mamun & Abu Marjan. (2021) An efficient lossless compression technique for remote sensing images using segmentation based band reordering heuristics. International Journal of Remote Sensing 42:2, pages 756-781.
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Md. Palash Uddin, Md. Al Mamun, Masud Ibn Afjal & Md. Ali Hossain. (2021) Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification. International Journal of Remote Sensing 42:1, pages 286-321.
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Articles from other publishers (8)

Henry Ndu, Akbar Sheikh-Akbari, Jiamei Deng & Iosif Mporas. (2024) HyperVein: A Hyperspectral Image Dataset for Human Vein Detection. Sensors 24:4, pages 1118.
Crossref
Kazi Mehrab Rashid, Md. Ali Hossain, Tasmia Jannat & Md. Anisur Rahman. (2023) An improved Spectral Analysis based Subspace Detection for Hyperspectral Image Classification. An improved Spectral Analysis based Subspace Detection for Hyperspectral Image Classification.
Md. Moshiur Rahman, Shabbir Ahmed, Md. Shahriar Haque, Md. Abu Marjan, Masud Ibn Afjal & Md. Palash Uddin. 2023. Machine Intelligence and Emerging Technologies. Machine Intelligence and Emerging Technologies 524 537 .
Md. Rakibul Haque, Sadia Zaman Mishu, Md. Palash Uddin & Md. Al Mamun. (2022) A lightweight 3D-2D convolutional neural network for spectral-spatial classification of hyperspectral images. Journal of Intelligent & Fuzzy Systems 43:1, pages 1241-1258.
Crossref
Sadia Zaman Mishu, Md. Al Mamun & Md. Ali Hossain. (2021) Folded-PCA Based Hybrid Dimension Reduction for Effective Classification of Hyperspectral Image. Folded-PCA Based Hybrid Dimension Reduction for Effective Classification of Hyperspectral Image.
Monoshi Kumar Roy, Sadia Zaman Mishu & Md. Al Mamun. (2021) Spectral and Spatial Feature Extraction Using Folded PCA and Convolutional Neural Network for Effective Hyperspectral Image Classification. Spectral and Spatial Feature Extraction Using Folded PCA and Convolutional Neural Network for Effective Hyperspectral Image Classification.
Chongshan Yang, Yan Zhao, Ting An, Zhongyuan Liu, Yongwen Jiang, Yaqi Li & Chunwang Dong. (2021) Quantitative prediction and visualization of key physical and chemical components in black tea fermentation using hyperspectral imaging. LWT 141, pages 110975.
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Chengzu Bai, Ren Zhang, Zeshui Xu, Baogang Jin, Jian Chen, Shuo Zhang & Longxia Qian. (2020) Kernel Low-Rank Entropic Component Analysis for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, pages 5682-5693.
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