IEEE 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET 2016)

178 / 2015-11-30 15:54:05

The Multi-Platform Implementation and Research on MNF Algorithm to Hyperspectral Image

8533,8534,5967,8535,8536

According to the characteristics of hyperspectral remote sensing image data, a processing mechanism of multi-language platform was proposed, as well as doing the challenging experiment of the hyperspectral image feature extraction. Then to improve the processing efficiency and effects of hyperspectral image feature extraction, it gives a comprehensive assessment from perspectives of the time consumption and the effect of selected characteristics by evaluating pros and cons of the language platform.In this way,a suitable condition for the hyperspectral image data processing will be further found, which also provides a new method for people in this area. Moreover, the experiment result shows that the parallel/ MNF algorithm is the most beneficial way. It is obviously and significantly superior to ENVI, Matlab and serial/ MNF processing approach in the feature extraction of hyperspectral remote sensing data.