Segmentation-based clustering of hyperspectral images using local band selection
Author:
Affiliation:
1. Indian Institute of Technology Kanpur, Department of Civil Engineering, Kanpur, India
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference34 articles.
1. Object based image analysis for remote sensing
2. A review on image segmentation techniques with remote sensing perspective;Dey,2010
3. Data clustering
4. A survey on enhanced subspace clustering
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1. Clustering of Hyperspectral Images using Entropy based Multiple Features (Bands) Set Selection;2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES);2023-04-28
2. Hyper Spectral Image Clustering and Local Feature Selection using Gini Impurity;2023 7th International Conference on Trends in Electronics and Informatics (ICOEI);2023-04-11
3. Hyperspectral image segmentation: a comprehensive survey;Multimedia Tools and Applications;2022-10-29
4. Hyperspectral image segmentation using 3D regularized subspace clustering model;Journal of Applied Remote Sensing;2021-01-28
5. Segment-Based Clustering of Hyperspectral Images Using Tree-Based Data Partitioning Structures;Algorithms;2020-12-10
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