%0 Journal Article
%T Spectral Information Detection and Extraction of Wheat Stripe Rust Based on Hyperspectral Image<br>基于高光谱影像的小麦条锈病光谱信息探测与提取
%A YANG Ke-ming
%A CHEN Yun-hao
%A GUO Da-zhi
%A JIANG Jin-bao
%A <br>杨可明
%A 陈云浩
%A 郭达志
%A 蒋金豹
%J 光子学报
%D 2008
%I 
%X In order to analyze and detect wheat stripe rust disease quantitatively, a Feature Position and Parameter Mode (FPPM) of spectral responses and disease detection is built based on the airborne wheat PHI(Pushbroom hyperspectral imager) images, and a new adjustable Multi-Temporal Normalized Difference Vegetation Index (MT-NDVI) is provided to extract the disease information in terms of the temporal spectral features. The results show that the FPPM can well response and monitor the disease occurring during the wheat growing, and the MT-NDVI method integrating Spectral Angle Mapper(SAM) technique can represent clearly the disease where is serious, slight or not influential, distinguish and extract the disease information accurately from health wheat and soil.
%K Hyperspectral image
%K Wheat stripe rust
%K Spectral responses
%K Information extraction<br>高光谱影像
%K 小麦条锈病
%K 光谱响应
%K 信息提取
%K Hyperspectral
%K image
%K Wheat
%K stripe
%K rust
%K Spectral
%K responses
%K Information
%K extraction
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=9F6139E34DAA109F9C104697BF49FC39&aid=683CDCBEEEB1C5415E96E83C1AE0B5D8&yid=67289AFF6305E306&vid=42425781F0B1C26E&iid=CA4FD0336C81A37A&sid=769BD58726D66E7D&eid=70AC2EF7F2065E09&journal_id=1004-4213&journal_name=光子学报&referenced_num=4&reference_num=14