Proc. SPIE. 10846, Optical Sensing and Imaging Technologies and Applications
KEYWORDS: Hyperspectral imaging, Human-machine interfaces, Imaging systems, Cameras, Satellites, Control systems, Telecommunications, Satellite communications, Data communications, Global Positioning System
In order to realize the self-test of the camera controller, based on the analysis of the basic functions and test tasks of the Star, GPS and other units, a design scheme of the camera sub-system geophysical controller is proposed, The design and implementation of the bus command, OC switch instruction, auxiliary data release and analog telemetry parameters are described in detail. The preparation of the host computer command and telemetry interface software is carried out in a large number of tests and tested with the controller, and the test results were analyzed and summarized.
Haze always exists in hyper-spectral remote sensing imagery, and it is a key reason that influences the effective information extraction of hyper-spectral images. Specially, when the faint haze covers part of the target in remote sensing images, the target still can be detected but not clear. So, how to remove the influence of the haze and improve the applicable efficiency of hyper-spectral images is a popular research point. This paper proposes a dehazing method for hyper-spectral images based on linear unmixing. First, a popular hyper-spectral unmixing method called FUN is used to get the signature of all the end-members and their corresponding abundance. And then, the abundance of the haze end-member is removed and the abundances of the rest end-members are adjusted to satisfy the sum-to-one and non-negative constraint. Lastly, the new abundance and the signature of the end-members are linearly mixed to get the dehazed hyper-spectral images. The experiment result shows that the dehazed hyper-spectral images exhibit better target information and details. The method is effective and available.