High-spectrum image dimensionality reduction chip

Abstract

The invention provides a high-spectrum image dimensionality reduction chip, which belongs to the field of image processing. The chip mainly completes the real-time dimensionality reduction processing on a large amount of high-spectrum image data. The chip is completed by adopting the VHDL speech, and is realized through being based on an in-site programmable gate array. The system chip manly comprises five parts: a system control module, a self correlation module, a feature value solving module, a feature value extracting module and a dimensionality reduction realization module. The inventioncan complete the real-time dimensionality reduction processing of the high-spectrum image data, and has the advantages of short development period, low design cost and low development risk.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to a hyperspectral image dimensionality reduction chip and an implementation method. Background technique [0002] Hyperspectral images are ground object images acquired by hyperspectral imagers in hundreds of continuous narrow bands from visible light to near-infrared. Therefore, hyperspectral images have many bands, high spectral resolution, contain a lot of information, and have a huge amount of data. However, the problems it brings are high information redundancy, large space required for data storage, and long processing time. Therefore, it is very important to perform dimensionality reduction before processing and analyzing hyperspectral images. [0003] The real-time processing of massive hyperspectral images is a research hotspot at home and abroad. The main technical approach to solve the problem of real-time data processing of hyperspectral images is to reduce the dimensiona...

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Problems solved by technology

[0004] At present, Hongtao Du, Hairong Qi and GregoryD.Peterson of the University of Tennessee abroad proposed the idea of ​​using FPGA to achieve dimensionality reduction of hyperspectral images in the paper "Parallel ICA and its hardware implementation inhyperspectral image analysis", but they did not realize the function of real-time processing

Domestic hyperspectral image data dimensionality reduction technologies are all in the theoretical research stage, and no one uses FPGA for hardware to realize real-time dimensionality reduction processing of hyperspectral imagery

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