文献类型：期刊文献

英文题名：Analysis of Sensitive Spectral Bands for Burning Status Detection Using Hyper-Spectral Images of Tiangong-01

作者：Qin Xian-lin[1] Zhu Xi[1] Yang Fei[1,2] Zhao Kai-rui[1,3] Pang Yong[1] Li Zeng-yuan[1] Li Xu-zhi[4] Zhang Jiu-xing[4]

第一作者：覃先林

通信作者：Qin, XL[1]

机构：[1]Chinese Acad Forestry, State Forestry Adm, Key Lab Forestry Remote Sensing & Informat Tech, Res Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China;[2]Commun Univ China, Beijing 100024, Peoples R China;[3]Southwest Forestry Univ, Kunming 650224, Peoples R China;[4]Chinese Acad Sci, Technol & Engn Ctr Space Utilizat, Beijing 100094, Peoples R China

年份：2013

卷号：33

期号：7

起止页码：1908-1911

外文期刊名：SPECTROSCOPY AND SPECTRAL ANALYSIS

收录：;EI(收录号：20132916509318);Scopus(收录号：2-s2.0-84880002590);WOS:【SCI-EXPANDED(收录号:WOS:000321408100037)】；

语种：英文

外文关键词：Error detection - Infrared devices - Infrared radiation - Reflection - Smoke - Spectroscopy - Spectrum analysis

摘要：To obtain the sensitive spectral bands for detection of information on 4 kinds of burning status, i.e. flaming, smoldering, smoke, and fire scar, with satellite data, analysis was conducted to identify suitable satellite spectral bands for detection of information on these 4 kinds of burning status by using hyper-spectrum images of Tiangong-01 (TG-01) and employing a method combining statistics and spectral analysis. The results show that; in the hyper-spectral images of TG-01, the spectral bands differ obviously for detection of these 4 kinds of burning status; in all hyper-spectral short-wave infrared channels, the reflectance of flaming is higher than that of all other 3 kinds of burning status, and the reflectance of smoke is the lowest; the reflectance of smoke is higher than that of all other 3 kinds of burning status in the channels corresponding to hyper-spectral visible near-infrared and panchromatic sensors. For spectral band selection, more suitable spectral bands for flaming detection are 1 000. 0 similar to 1 956. 0 and 2 020. 0 similar to 2 400. 0 nm; the suitable spectral bands for identifying smoldering are 930. 0 similar to 1 000. 0 and 1 084. 0 similar to 2 400. 0 nm; the suitable spectral bands for smoke detection is in 400. 0 similar to 920. 0 nm; for fire scar detection, it is suitable to select bands with central wavelengths of 900. 0 similar to 930. 0 and 1 300. 0 similar to 2 400. 0 nm, and then to combine them to construct a detection model.