成像光谱图像的噪声分析与消除方法研究——以北京顺义区成像光谱图像为例  

NOISE ANALYSIS AND ELIMINATION FOR IMAGING SPECTROMETER DATA

作　　者：姜小光[1] 王长耀[1] 王成[2] 

机构地区：[1]中国科学院遥感应用研究所,北京100101 [2]南京师范大学地理科学学院,南京210097

出　　处：《干旱区地理》2001年第1期9-14,共6页Arid Land Geography

摘　　要：以北京顺义区 32通道成像光谱数据为例 ,从数据的统计参数入手 ,分别从数据的方差、动态范围、相关性、直方图等方面分析研究噪声及特点 。Noise elimination is one of the important step in image preprocessing. This paper, taking the imaging spectrometer data of Shunyi, Beijing as an example, deals with the research on noise analysis and elimination. Statistical method, combined with image processing technique, is used to analyze the existence and feature of noise. There are two types of noise in imaging spectrometer image of Shunyi. One type takes the form of speckles which exist in all the channels at random. The other type takes the form of strips which distribute in dark objects such as river and pond. There are different types noise in remote sensing imagery which influence the quality of image along the scanning direction and appear only in channel 18,19,20 and 21. The noise is eliminated by different methods according to the feature of noises. The speckle noise is eliminated by median filler quite well. While the second type noise is very special and can not be eliminated by conventional method. Therefore, a local neighboring algorithm is developed to eliminate it. The procedure is: automatically searching the noise along the line of image, when some pixel meets the demand of limit preset, replace its grey value by the average value of 5×5 pixel matrix in neighbor with uniform value. In this way the special noise can be eliminated effectively without damaging the raw data because the algorithm don't perform any processing on normal pixels. It can be seen from the processing result of study area that the proposed method is effective in analyzing and eliminating noise of imaging spectrometer data.

关 键 词：成像光谱数据 噪声 消除 遥感图像处理 方差 相关性 直方图 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]