Abstract
This paper examines data from different sensors regarding their potential for an automatic change detection approach. After a brief discussion of the used approach, results are shown on examples of data from several sensors: scanned analogue aerial photos, an airborne digital line scanner (DPA camera system), the Indian satellite IRS-1C, the MOMS-2P camera and from a laser scanning system as an additional information source. The GIS data which have to be updated are from the German national topographic cartographic database (ATKIS) and were captured in the scale of 1: 25,000.
Cite
CITATION STYLE
Walter, V. (1999). Comparison of the potential of different sensors for an automatic approach for change detection in GIS databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1737, pp. 47–64). Springer Verlag. https://doi.org/10.1007/3-540-46621-5_4
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