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机构地区:[1]大连海事大学地理信息研究所,大连116001
出 处:《遥感信息》2009年第3期73-77,共5页Remote Sensing Information
基 金:国家科技支撑计划课题-水上溢油遥感识别与监测技术(2006BAC11B01)
摘 要:欧空局的ENVISAT卫星所获得的ASAR(Advanced Synthetic Aperture Radar)数据在全世界都有广泛的应用。2005年12月我国遥感卫星地面站正式向用户提供ASAR数据共享服务,此举必将促进ASAR数据在国内的应用。而利用目前通用的遥感图像处理软件,如ENVI、ERDAS等还不能对ASAR数据做深入处理,因此本文介绍了ASAR level 1B的数据格式,给出了一种能够解译ASAR level 1B数据进行清晰成像的方法,并将Sigma滤波应用于解译后的ASAR图像,进一步提升了ASAR解译后图像的目视效果。Currently there exists an extensive utilization of the data loaded from the ASAR (Advanced Synthetic Aperture Radar) of ESA ENVISAT throughout the world. In the year of 2005, China Remote Sensing Satellite Ground Station started to provide the ASAR data to its users, which has brought a favorable impact on the domestic data application of ASAR in China, therefore the prospective leap could be optimistically expected. However, the further application of ASAR data freely suffers a certain restriction from the use of softwares such as ENVI, ERDAS etc. Based on the importance and immense potential of fu- ture development in ASAR data application, we expound ASAR level 1B data format and give a solution which could process ASAR level 1B data to approach a clearer image. Compared with other similar filtering methods, sigma filter appears more ef- fective in removing the radar image noise, therefore we choose to apply sigma filter to the ASAR image in our research. After being filtered, the ASAR image demonstrated a much clearer look.
分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]
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