工作于光谱微波段的传感器,能够提供反射波段和红外波段以外地物的丰富遥感信息。早在六十年代末至七十年代中期,机载侧视雷达(SLAR)图象在地球资源遥感中的应用就已取得了一些成果。尤其是在中南美洲地区成功地取得的雷达图象,证明了微波遥感不受天气条件影响这一突出优点,因而受到普遍重视^[1,2]。

A SIR-A image in the south of Tianjin acquired by the Shuttle Imaging Radar in November 1981 was interpreted directly and processed by computer system. The methods of processing were density slicing with statistical training; producing the normalized false color composite image through coregistration of the SIR-A and Landsat MSS data sets; unsupervised cluster classifications of some different image results of combining the Landsat MSS data and the SIR-A data. The interpretation keys using the SIR-A original image, the SIR-A density clicing image and the SIR-A/Landsat MSS normalized composite image to investigate land use situation were established after investigation in situ and analysis of the dielectric characteristics of different ground cover types and using large scale color IR aerial photo and land use maps aquired recently as the references, According to the keys an experiment on the aformentioned images interpretation and the interpretation accuracy analysis was undertaken. The results of the research indicate that the SIR-A data have higher resolution than Landsat MSS and remedy some defects of Landsat MSS data because of showing residential areas and linear features clearly, The SIRA/Landsat MSS normalized composite images incorporate the strong points of SIR-A and Landsat MSS data, have the resolution of the SIR-A image,reflect the ground surface spectral reflectance characteristics in the bands of visible and near infrared and the ground surface backscatter characteristics in the band of microwave and increase the classification accuracy that use remotely sensed data acquired by spacecrafts to land use maping.