On-orbit calculation imaging method

Abstract

The invention provides an on-orbit calculation imaging method which comprises the steps of studying a hyperspectral characteristic dictionary model on a hyperspectral training image set with object type marks, thereby obtaining a hyperspectral classified dictionary; performing on-orbit searching for the object type of a hyperspectral image in the hyperspectral classified dictionary, performing abnormal object detection on the hyperspectral image and an infrared image to be detected and performing visual saliency detection on the hyperspectral image, thereby obtaining target area data; and on-orbit generating a fused image of a full-color image and the hyperspectral image, and performing index storage on the fused image which corresponds with the target area data for obtaining compression imaging data. The on-orbit calculation imaging method can improve data utilization timeliness and reduces the pressure in transmitting and storing remote sensing images.

Description

technical field [0001] The invention belongs to the field of remote sensing imaging, relates to technical fields such as on-orbit image processing, target detection, target recognition, data compression, and particularly relates to an on-orbit computational imaging method. Background technique [0002] Each type of sensor tends to capture only one or a few features. However, each type of target has multiple types of features, such as appearance, structure, temperature, material, and category. Multiple features must be used comprehensively to identify targets accurately and comprehensively. For this reason, the same satellite is often equipped with different types of sensors, such as visible light, infrared and hyperspectral, while using multi-source images acquired by multiple sensors to detect and identify targets. [0003] The imaging process of traditional visible light, infrared, hyperspectral and other sensors is physical imaging. Physical imaging uses components to ma...

AI Technical Summary

Problems solved by technology

[0005] Computational imaging has many advantages, but computational imaging involves many steps such as target detection, data fusion, and data compression; computational imaging needs to be completed on-orbit on the satellite, with limited computing resources and high requirements for computational timeliness. The key technologies of computational imaging are urgently needed. In-depth research is required

Images