This paper aims to present our research and discussion on establishing a practical system which integrates the technologies of Image Processing, Photogrammetry and GIS for the purpose of middle and large scale map making and revision. As it is very difficult for a computer to understand an image automatically and the low effiency of the data aquisition is still the big limitation of the application of GISs now, an idea of operator-guided semi-automatic processing for geographic data acquisition was proposed and studied in this paper.
The present paper proposes a method for speeding up geometric correction of AVHRR data. Due to the size of AVHRR imagery, the bilinear interpolation is used to speed up geometric corrcction procedure here. The size of interpolated block has to be determined. In this paper, AVHRR's spot size from sean pattern is calculated. The optimal interpolated block size can be detetmined from the AVHRR's spot size. From experimental result, the optimal block size is: 16×16 (Lat.×Long.) for the map coordinate, and 16×8 (Line×4Pixel) for the image coordinate Finally, a remarkable improvement of the precision and the processing time for the proposed method in this paper is described.