论文信息 - Least square fitting of pollock model for tree detection and crown delineation

Least square fitting of pollock model for tree detection and crown delineation

Pollock model was one of the popular template matching algorithms, which constructs a three-dimensional description of each individual tree-crown envelope. Unfortunately, it is always challenging to determine parameters since each tree has different grown condition. This paper proposed an iterative least square fitting algorithm to form a Pollock model best fitting each individual tree for tree detection and crown delineation. The proposed algorithm provides a solution to avoid difficulties of finding the best set of parameters for each tree crown. As a result, it improves the detection rate and decreases the computing time as shown in the experimental studies. The proposed least square fitting algorithm is more suitable for practical applications.

Chao-Cheng Wu | Chinsu Lin | Hsuan-Tsung Chang | Shao-An Tsai

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