Model Based Road Extraction for the Registration and Interpretation of Remote Sensing Data
نویسنده
چکیده
Due to the increasing number of digital remote sensing data taken by aeroplane and satellite which are used for the updating of maps and the environmental or agricultural monitoring, there is a need to automate the registration and interpretation of these images. The approach described here treats the segmentation of roads (linear objects) in different sensor data (SAR, IR, VIS and maps) which is employed for registration and interpretation. The information from the GIS (Geographic Information Systems) is used by the registration to reference the tiepoints. For the interpretation the information of a GIS database is exploited to generate reliable hypotheses for expected roads which are verified in the data.
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