Title :
Tree crown detection and delineation in high resolution RS image: a texture approach discussion
Author :
Wu, Lun ; Zhang, Yunhai ; Gao, Yong ; Zhang, Yi
Author_Institution :
Inst. of Remote Sensing & Geogr. Inf. Syst., Peking Univ., Beijing, China
Abstract :
Vegetation inventory and management requires a range of fine-scale information regarding tree attributes. High spatial resolution remote sensing images can provide such information efficiently. However, tree crowns should be detected and delineated accurately beforehand. This work proposes a texture analysis based tree crown detection and delineation algorithm, which can recognize tree crown from a complicate scene. The main idea and fundamental process of the algorithm are described, image examples and performance are given, and applicable conditions and limitations are discussed.
Keywords :
forestry; geophysical signal processing; image resolution; image texture; object detection; vegetation mapping; RS image; image texture; normalized difference; remote sensing images; spatial resolution; texture analysis; tree attributes; tree crown delineation; tree crown detection; vegetation inventory; vegetation management; Algorithm design and analysis; Brightness; Geographic Information Systems; Image analysis; Image resolution; Image texture analysis; Inventory management; Layout; Remote sensing; Spatial resolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369961