FPGA Implementation of the HySime Algorithm for the Determination of the Number of Endmembers in Hyperspectral Data-Reference-Cited by-同舟云学术

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FPGA Implementation of the HySime Algorithm for the Determination of the Number of Endmembers in Hyperspectral Data

Published:2015-06 Issue:6 Volume:8 Page:2870-2883
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Gonzalez Carlos,Lopez Sebastian,Mozos Daniel,Sarmiento Roberto

Funder

Spanish Ministry of Science and Innovation under references READAR

DREAREBECCAMS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/7175093/07112455.pdf?arnumber=7112455

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GPU Implementation of Graph-Regularized Sparse Unmixing With Superpixel Structures;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

2. Sparse Representation Based Hyperspectral Anomaly Detection via Adaptive Background Sub-Dictionaries;IEEE Access;2021

3. FPGA Implementation of L1/2 Sparsity Constrained Nonnegative Matrix Factorization Algorithm for Remotely Sensed Hyperspectral Image Analysis;IEEE Access;2020

4. An efficient feature fusion in HSI image classification;Multidimensional Systems and Signal Processing;2019-05-30

5. Group endmember extraction algorithm based on Gram–Schmidt orthogonalization;Journal of Applied Remote Sensing;2019-05-10

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