Spectral Feature Extraction and Analysis Based on Hyperspectral Remote Sensing Data

摘要：

Hyperspectral data have the characteristics of massive data and high dimensions, which lead lots of difficulties for spectrum analyzing and processing. Especially spectral feature extraction and analysis are the foundation of further processing. In this paper, we discuss a number of spectral data processing algorithms for spectral feature extraction and analysis. The main contribution is that we combine both Douglas-Pcucker (DP) algorithm and spectrum derivative algorithm to extract spectral absorption characteristics from the rock and mineral spectral data. The experiments indicate effectiveness while using the proposed algorithms for spectral feature extraction.

关键词： Hyperspectral spectral features preprocessing feature extraction feature library

作者: Yi Baolin Xu Chenwei Li Weiwei

作者单位: Dept.of computer science Huazhong Normal University,Wuhan, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 63-66

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）