Fusion calculation imaging method of dual-camera compression measurement cooperative tensor representation

Abstract

The invention discloses a fusion calculation imaging method of dual-camera compression measurement cooperative tensor representation, wherein the method comprises the steps: establishing a dual-optical-path compression measurement device, wherein one path is a coded aperture snapshot spectrum measurement device, and the other path is a panchromatic camera measurement device; constructing a forwardcompression sampling process through a compression coding aperture generated by a Bernoulli random matrix, offset caused by a dispersion prism and spectral response of a camera; carrying out third-order tensor representation on the two paths of measurement information, and establishing a dual-camera compression measurement cooperative tensor representation regularization model by integrating anisotropy weighted space-spectrum total variation prior constraints; and carrying out model iterative optimization solution by adopting an alternating direction multiplier method. According to the method, the tensor representation can fully mine cubic atlas characteristics of a hyperspectral image, space detail information provided by the panchromatic image can be effectively utilized, and the hyperspectral imaging quality and the space-spectrum characteristic retention capability are greatly improved through fusion calculation.

Description

technical field [0001] The invention belongs to the field of computational photography, in particular to a fusion computational imaging method of dual-camera compression measurement cooperative tensor representation. Background technique [0002] Hyperspectral images are three-dimensional data sets composed of dozens or even hundreds of continuous spectral bands. Compared with RGB color images, hyperspectral images have rich spectral information and detailed structures. It has a wide range of applications in the fields of environmental and military monitoring, agricultural planning, mineral exploration and medical testing. [0003] Traditional hyperspectral imaging methods, such as push-broom hyperspectral imagers and swing-broom hyperspectral imagers, can only capture a one-dimensional or two-dimensional spectral cube subset at a time, and a sequential scanning strategy is required to capture a complete 3D spectral data. Thus this imaging method is time-consuming and cann...

AI Technical Summary

Problems solved by technology

These methods all transform the two-way observation model into a compressed measurement fidelity term, fail to improve the adaptation between the compressed measurement item and the panchromatic image, and fail to fully and effectively utilize the spatial information of the panchromatic image

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