Title :
Automatic thresholding for shadow removing based on NGATE DSM
Author :
Wang, Zuyuan ; Boesch, Ruedi ; Ginzler, Christian
Author_Institution :
Dept. of Land Resource Assessment, Swiss Fed. Res. Inst. WSL, Zurich, Switzerland
Abstract :
Tree cover is one of the important forest parameters in SWISS National Forest Inventory (NFI). Therefore, automatic tree cover detection is of practical interest. However, it difficult to remover shadow areas because of some effects related to ADS40 data processing of Digital Surface Model (DSM) by NGATE. This paper proposes an automatic and flexible threshold selection algorithm for shadow removing based on the mean-shift segmentation results. Experimental results show that the shadows can be successfully removed by the proposed algorithm.
Keywords :
forestry; image segmentation; terrain mapping; National Forest Inventory; automatic thresholding; automatic tree cover detection; digital surface model; mean-shift segmentation; shadow removing; threshold selection algorithm; Atmospheric modeling; Flexible printed circuits; Image color analysis; Image resolution; Image segmentation; Remote sensing; Surface topography; ADS40; NGATE; shadow removing; tree cover detecten;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5656039