Enhancing Endmember Extraction using K-means clustering and Pixel Purity Index-Reference-Cited by-同舟云学术

Enhancing Endmember Extraction using K-means clustering and Pixel Purity Index

Published:2023-05-05 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)
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Author:

Kalaivani S.¹,Vimaladevi M.R.¹

Affiliation:

1. School of Electronics Engineering, Vellore Institute of Technology,Vellore,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10156870/10156895/10157664.pdf?arnumber=10157664

Reference22 articles.

1. A New Deep Convolutional Network for Effective Hyperspectral Unmixing

2. Sparse Unmixing of Hyperspectral Data

3. Spectral transformation based on nonlinear principal component analysis for dimensionality reduction of hyperspectral images

4. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

5. An Improved Pixel Purity Index Endmember Extraction Algorithm for Hyperspectral Images;yang;ICMLCA 2021 2nd International Conference on Machine Learning and Computer Application ICMLCA,2021

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1. Evolutionary Competition Multitasking Optimization with Online Resource Allocation for Endmemeber Extraction of Hyperspectral Images;Electronics;2024-04-10

2. A Non-Linear Dimensionality Reduction Approach for Unmixing Hyper Spectral Data;2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC);2023-12-19

3. Convex Geometry Based Endmember Extraction for Hyperspectral Images Classification;2023 13th International Conference on Information Science and Technology (ICIST);2023-12-08