Data acquisition for knowledge-based image classification and interpretation of remotely sensed multispectral images

摘要

Abstract: An experiment is reported which had as its main requirement the gathering of a wide range of information about the scene under investigation. It took place at the area of the Nurnberg airport (Bavaria, West Germany) in the summer of 1991 and the spring of 1992. The time frame of the experiment was planned to get satellite images in addition to airborne images at nearly the same time. The airborne scanner provided images in eleven spectral channels from the visible to the thermal infrared with geometric resolutions between 0.75 m and 4.50 m. In parallel we performed several radiometric measurements of reference targets at the ground as well as meteorological measurements to take care of atmospheric effects and lighting conditions. To get a better knowledge of the whole area we gathered additional information of the Nurnberg airport and surroundings. In particular, we investigated the functionality and task of certain areas (airport, agricultural, and industrial) and the type of surface materials of objects (airplane, taxi way, park way, shed or hangar roof, natural surfaces) within the scene of investigation. A combination of vegetation filters, unsupervised classification, and gray scale morphological image processing was applied to the data. As a result we obtained pixel by pixel and morphological classification of buildings, roads, and vegetation. !12