FPGA Implementation of a Hardware Optimized Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis
Author:
Affiliation:
1. Computer Arquitecture and Automation, Complutense University of Madrid, Madrid, Spain
Funder
Ministerio de Ciencia e Innovación
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09817130.pdf?arnumber=9817130
Reference9 articles.
1. Automatic spectral target recognition in hyperspectral imagery
2. Analysis and Optimizations of Global and Local Versions of the RX Algorithm for Anomaly Detection in Hyperspectral Data
3. The definition and rendering of terrain maps
4. FPGA Implementation of an Algorithm for Automatically Detecting Targets in Remotely Sensed Hyperspectral Images
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