Design And Research Of The Processing Platform For Hyperspectral Image

Hyperspectral imaging techiques was developed from multispectral techiques.As opposed to the multilspectral image,the hyperspectral image has a higher spectral resolution and more bands,and therefore brings a richer information.The processing and analysis techiques of Hyperspectral image played a role in the development of the remote sensing thchnology.A large number of achievement was gained both at home and aboard nowadays,and lots of new methods was arose everyday.But,it is necessary to develop a professional image processing software to promote these techniques to practical applications.This paper has studied the design of hyperspectral image processing platform,and makes expatiation of the design procedure of platform,and some key techniques which was encountered during the design procedure was analysised,and The resolution was presented according the key techniques.Meanwhile,unsupervised classification algorithm for image processing has been implement by software.The research of this papaer focused on the design and research of the paltorm,and analyzed the main functions of the platform,at the same time,the modules was divided according to the main functions, described in detail the main function of each module and the design process,designed the contact interface with each other of the module. The key technical problems encountered on the design process were analyzed, and offered corresponding resolution.And take the example of non-supervised classification of image to realize the algorithm using the interface of the platform,imporved the method of the choice of initial centers for algorithm,and also provided the mothod that the threshold was choosed of the split and merge process for the IsoData algorithm.The main work of this paper provided the interface for the development of image processing algorithm,and laid the foundations of extensions for the hyperspectral image processing platform.The last part were the test for the realization of the platform, the results compared with the ENVI software,and the conclusions of the chief characteristics and defects.