Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Acta Agrestia Sinica》 2017-04
Add to Favorite Get Latest Update

Degradation Class Identification Based on High Spectral in Seriphidium transiliense Desert Grassland

JIN Gui-li;WU Hong-qi;FAN Yan-min;WANG Jun;HE Long;College of Grassland and Environmental Science of Xinjiang Agricultural University,Key Laboratory of Grassland Resources and Ecology of Xinjiang;  
In this study,the Seriphidium transiliense desert grassland as the research object and based on HJ-1 A HSI hyperspectral image and field canopy spectrum,the identification methods of degradation class were studied using SAM and SID methods.The results showed that the identification accuracy of the canopy spectrum combined with HSI was poor,but the overall identification accuracy of SAM and SID methods were above 76% based on the HJ-1 A HSI.It proved that the identification approach based HSI hyperspectral image was better than the canopy spectrum combined with HSI hyperspectral image.
【Fund】: 国家自然基金项目(31360571);; 自治区土壤学重点学科基金资助
【CateGory Index】: S812.6
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved