Detection of Ground in Point-clouds Generated from Stereo-pair Images
Abstract
This paper proposes a new approach for constructing digital terrain models (DTM) from the point-clouds
generated from airborne stereo-pair images. The method uses data decomposition based on the differential
attribute profiles and -mapping for the extraction of the most-contrasted connected-components. Their
filtering is achieved based on multicriterion threshold function. The method is evaluated by comparing the
output DTM with the reference Light Detection and Ranging data (LiDAR).
generated from airborne stereo-pair images. The method uses data decomposition based on the differential
attribute profiles and -mapping for the extraction of the most-contrasted connected-components. Their
filtering is achieved based on multicriterion threshold function. The method is evaluated by comparing the
output DTM with the reference Light Detection and Ranging data (LiDAR).
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