An Algorithm for Highlightling Structure in Multispectral Remote Sensing
WANG Qin-jun1, LIN Qi-zhong1, LI Ming-xiao2, WEI Yong-ming3, WANG Li-ming1
1. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China 2. China Earthquake Networks Center, Beijing 100045, China 3. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
Abstract：Based on the principle of mineral generation, structures could provide not only passage ways for ore-forming fluid, but also space for them to aggregate. So, it was very important to study the feature of structures in study area before mineral exploration. In order to highlight structures using multispectral remote sensing data, an algorithm integrating principle component analysis (PCA), maximum noise fraction transformation (MNF) and original image data was proposed here. In the algorithm, the original image was firstly transformed by PCA and MNF; then all bands were normalized to reduce errors caused by different band dimensions, and three bands containing detailed structure information were selected to form the false color image in which structures in study area were highlighted. Results of transformation on enhanced thematic mapper (ETM) data acquired on June 27th 2000 in Hatu area, Xinjiang province, China showed that (1) the transformed image was not only more colorful than the original data, but also more gradational than the original data. (2) The color difference among objects was enhanced by the algorithm. (3) Structrues were highlighted by the algorithm. Therefore, the algorithm’s effect of highlighting structures in study area was noticeable.
王钦军1,蔺启忠1,黎明晓2,魏永明3,王黎明1 . 一种突出构造信息的多光谱遥感变换方法[J]. 光谱学与光谱分析, 2009, 29(07): 1950-1953.
WANG Qin-jun1, LIN Qi-zhong1, LI Ming-xiao2, WEI Yong-ming3, WANG Li-ming1 . An Algorithm for Highlightling Structure in Multispectral Remote Sensing . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(07): 1950-1953.
