Subspace-based hyperspectral sub-pixel target blind extraction and detection method

Abstract

The invention provides a subspace-based hyperspectral sub-pixel target blind extraction and detection method, which belongs to the field of hyperspectral remote sensing. The method comprises the steps of: acquiring a spectral signal of a target mineral; extracting a suspected signal by adopting an MSCPE-based blind source extraction method; subjecting the suspected signal to orthogonalization processing to obtain an orthogonal basis and constructing an orthogonal subspace, and projecting a target signal into the subspace to obtain a projection operator of the orthogonal subspace; and calculating a detection value of each pixel by means of the projection operator, and determining the pixel with the highest detection value to be a target. According to the subspace-based hyperspectral sub-pixel target blind extraction and detection method, the target object is detected and extracted by adopting the subspace-based blind source extraction method, background influence after extraction is eliminated, the target is highlighted, the problem of poor effect of mineral exploration conducted by utilizing images in the prior art is solved, and the detection effect of the hyperspectral mineral target is improved.

Description

technical field [0001] The invention belongs to the field of hyperspectral remote sensing, and in particular relates to a method for blindly extracting and detecting hyperspectral sub-pixel targets based on subspace. Background technique [0002] Hyperspectral imaging technology plays a pivotal role in the detection of material information and plays an important role in the development of remote sensing. Hyperspectral target detection is a key technology for identifying ground objects from hyperspectral images. Its essence is to judge whether the target is Included in hyperspectral pixels. In the process of sensor imaging, when the target fills the entire pixel, the target is a pure pixel target, which can be easily detected by classical detection methods; when the target size is smaller than a pixel, it is a sub-image The form of pixels exists, and the detection at this time becomes the problem of sub-pixel target detection. [0003] Common models in the development proce...

AI Technical Summary

Problems solved by technology

[0004] The present invention proposes a subspace-based hyperspectral sub-pixel target blind extraction detection method to solve the problem in the prior art that the use of images for mineral surveying is not effective, and then realizes the improvement of the hyperspectral mineral target detection effect the goal of

Images