Automatic Thresholding for Shadow Removing based on NGATE DSM
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.
shadow removing tree cover detecton ADS40 NGATE
Zuyuan Wang Ruedi Boesch Christian Ginzler
Dept.of Land Resource Assessment, Swiss Federal Research Institute WSL Zurich, Switzerland
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
889-892
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)