摘要
卫星在太空获取图像及在地面处理过程中,都会带来各种噪声,降低影像的信噪比,从而影响图像质量,降低目标识别的可靠性及解译精度。文章针对SPOT5多光谱数据短波红外波段SWIR不同宽度的条带噪声,用插值法进行去噪处理,并通过相关系数、偏左指数、扭曲程度等指标进行了效果评价。
Satellite can produce various kinds of noises when it obtains images in the space and processes them at the earth＇ s surface. The noises have adverse influence on image quality, and reduce reliability of object identification and interpretation precise. Focus on noises from different width of SWIR belt of short infrared waves of SPOT5 multi- spectrum data, noise elimination is processed with interpolation method, and related effects are assessed by means of relevant coefficient, left - moving index, and distorting extent
出处
《林业调查规划》
2006年第2期8-10,共3页
Forest Inventory and Planning
关键词
去噪
短波红外波段
SPOT5
插值法
noise elimination
short infrared wave band
SPOTS
interpolation method
