摘要
系统地阐述了SAR图像的特点、研究难点、处理过程、国内外最新研究方法及应用。结合国内外SAR图像最新研究动态对SAR图像消噪、纹理分割、线性特征的提取、多目标的识别、分数维方法的应用等几个热点问题作了论述。具体地论述了利用SAR图像进行目标探测与识别、目标变化评估;在民用上利用SAR图像进行矿藏资源的探测、洪涝灾害的趋势分析,并介绍了SAR信号处理算法在医学等领域取得的显著成绩。
Synthetic Aperture Radar(SAR) is very important in study of microwave remote sensing in modern remote sensing technology, which is independent of time and the weather conditions. The method of generating image and information is different to visible sensor. This paper gives the detail of SAR image information characteristics, processing procedure,algorithm development and various applications. Denoising algorithms, texture analysis, linear feature and multi features extraction from SAR images and so on are studied emphatically. SAR images have most wide applications. Military applications are primarily concerned with detecting and recognizing targets. Unique properties of SAR data are now being exploited to aid further the exploitation of natural resources by detecting the lineament features and anti\|cline structures which may indicate the presence of mineerl deposits. SAR signal processing algorithms have been applied to medical data to produce detailed images. Finally, prospects for further development of techniques for extracting information from SAR images is discussed based on its current state.
出处
《遥感技术与应用》
CSCD
2002年第5期284-288,共5页
Remote Sensing Technology and Application
基金
国家自然科学基金重点资助项目(批准号:69831040)。
