The invention designs a quick and intelligent true and false target detection and identification method based on
spectral imaging calculation, and aims to solve the problems that the
inflatable true and false target is high in
camouflage, the traditional optical detection means is difficult to effectively identify, and the business work is inconvenient to carry out. According to the method, the target information dimension is expanded to'space dimension + spectrum dimension ', so that the distinguishability of the target, the background and interference is enhanced, and the anti-interference and recognition capability is improved. According to the method, firstly, target map information is rapidly obtained by designing an imaging
system based on a micro-
lens array, then spectrum reconstruction based on depth expansion Transform is carried out on an image, single-frame measurement image data is restored to a multi-spectrum cube, a spectrum image super-resolution network training technology based on similarity measurement and
coring self-attention is constructed, and a multi-spectrum image super-resolution network training
algorithm is established. The method comprises the following steps: firstly, acquiring a
spectral image, improving the resolution of the
spectral image, then performing
feature extraction on spectral samples by using a
convolutional neural network encoder and a self-attention mechanism, constructing a multi-head self-attention mechanism to capture a complex relationship among the samples, and finally achieving the purpose of accurately detecting true and false inflation targets.