Title :
Study of recognition the remote sensing information of alteration based on MPS model
Author :
Zhang Nannan ; Xi, Chen ; Kefa, Zhou ; Hong, Li
Author_Institution :
Xinjiang Res. Center for Miner. Resources, Xinjiang Inst. of Ecology & Geogr., Urumqi, China
Abstract :
This research made use of the more accessible ETM+ remote sensing data and based on the previous methods to propose the MPS model and extract alteration information. The meaning of MPS model was mask process-principal component analysis-the support vector machine processing. This article applied and tested the methodology in the Hatu area, Xinjiang. Though the research, there was a better effect of extraction, and the outcome and the distribution of the mineral deposits was coherent well.
Keywords :
geophysical techniques; minerals; principal component analysis; remote sensing; support vector machines; ETM+ remote sensing data; Hatu area; MPS model; Xinjiang; mask process; mineral deposits; principal component analysis; remote sensing information; support vector machine processing; Data mining; Interference; Kernel; Minerals; Principal component analysis; Remote sensing; Support vector machines; MPS; SVM; alteration;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100588
