Collaborative coding hyperspectral imaging system and image reconstruction method based on random projection

Abstract

The invention discloses a collaborative coding hyperspectral imaging system and image reconstruction method based on random projection. The reconstruction speed and reconstruction precision of hyperspectral data can be improved by using the system and the method. The system comprises a point-by-point scanning module, a beam splitter module, a first observation channel module, a second observation channel module and an image reconstruction module, wherein the first observation channel randomly generates an observation matrix A for a spectral information matrix constituted by received point spectral information, and performs compression coding on the spectral information by using the observation matrix A; the second observation channel randomly generates an observation sub-matrix for each piece of received point spectral information, and performs compression coding on the corresponding point spectral information by using the observation sub-matrix respectively; and the image reconstruction processing module implements reconstruction of a hyperspectral image according to the observation value sent by the first observation channel and the observation value sent by the second observation channel.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a random projection-based collaborative encoding hyperspectral imaging system and an image reconstruction method. Background technique [0002] Based on the spectral analysis theory of matter, hyperspectral imaging technology involves optical system design, imaging technology, photoelectric detection, signal processing and information mining, spectral information transmission theory, and research on spectral characteristics of ground objects. It is currently an important space-to-ground One of the observation techniques. Because hyperspectral imaging technology can simultaneously obtain two-dimensional spatial information and spectral information of the target scene, it is widely used in food safety detection, detection and identification of ground objects, metal pollution detection in soil, mineral type analysis, flood disaster prediction, and criminal in...

AI Technical Summary

Problems solved by technology

[0005] In addition, the existing dual-channel remote sensing spectral imaging system and imaging method based on compressed sensing uses two complementary coding boards in the two observation channel modules to realize the complementary coding of each position information of the image, but in such a system The reconstruction steps are complicated, and the endmember information and its corresponding abundance information cannot be directly reconstructed during reconstruction

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