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...

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