Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2010, Vol. 22 Issue (1) : 30-38     DOI: 10.6046/gtzyyg.2010.01.05
Technology and Methodology |
Study on Band Sequence Structure Analysis of Hyperspectral Data
ZHANG Yuan-fei 1, 2, WU De-wen 1, ZHANG Gen-zhong 3, ZHU Gu-chang 1, LI Hong 1, 4
1.China Non-ferrous Metals Resource Geological Survey, Beijing 100012, China;
2.Guilin Research Institute of Geology for Mineral Resources,Guilin 541004, China;
3.Beijing Titan Science & Technology Co.Ltd., Beijing 100083, China; 4.Central South University,Changsha 408309,China
Download: PDF(1997 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

This paper puts forwards a new kind of technical approach-Band Sequence Structure Analysis (BSSA) by using the

hyperspectral data as the band-series data which have almost continuous sub-band. This new technical approach includes such means

as band sequence histogram, left (right) skew parameter analysis, relevant (similar) matrix and regression skew analysis. In this

paper, the BSSA of hyperspectral data is applied to such fields as statistical character analysis and quality evaluation,

evaluation of potentiality of alteration information, selection of characteristic bands and extraction of mineral alteration

information. The result of the application demonstrates the scientific value and practicality of the new technical idea.

Keywords SLA image      X-band      Fossil river course      Keliya River     
Issue Date: 22 March 2010
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Cite this article:   
ZHANG Yuan-Fei, Wu De-Wen, ZHANG Gen-Zhong, ZHU Gu-Chang, LI Hong. Study on Band Sequence Structure Analysis of Hyperspectral Data[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(1): 30-38.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.01.05     OR     https://www.gtzyyg.com/EN/Y2010/V22/I1/30
[1] NIE Hong-feng . THE APPLICATION OF AIRBORNE SLA IMAGE IN SURVEYING FOSSIL RIVER COURSE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2002, 14(1): 15-18.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech