Name
Title | ||
|---|---|---|
Tree crown detection and delineation in high resolution RS image: a texture approach discussion |
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. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/IGARSS.2004.1369961 | IGARSS |
Keywords | Field | DocType |
forestry,tree attributes,image resolution,rs image,tree crown delineation,spatial resolution,vegetation inventory,texture analysis,normalized difference,geophysical signal processing,object detection,high-resolution rs image,vegetation management,remote sensing images,vegetation mapping,image texture,tree crown detection,high resolution | Computer vision,Object detection,Vegetation,Image texture,Computer science,Remote sensing,Artificial intelligence,Image resolution,Geophysical signal processing | Conference |
Volume | Issue | ISSN |
6 | null | 2153-6996 |
ISBN | Citations | PageRank |
0-7803-8742-2 | 1 | 0.49 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wu Lun | 1 | 14 | 3.45 |
| Yunhai Zhang | 2 | 1 | 1.16 |
| Yong Gao | 3 | 21 | 8.30 |
| Zhang Yi | 4 | 1765 | 194.41 |