Name
Title | ||
|---|---|---|
Evaluation of Aerial Remote Sensing Techniques for Vegetation Management in Power-Line Corridors |
Abstract | ||
|---|---|---|
This paper presents an evaluation of airborne sensors for use in vegetation management in power-line corridors. Three integral stages in the management process are addressed, including the detection of trees, relative positioning with respect to the nearest power line, and vegetation height estimation. Image data, including multispectral and high resolution, are analyzed along with LiDAR data captured from fixed-wing aircraft. Ground truth data are then used to establish the accuracy and reliability of each sensor, thus providing a quantitative comparison of sensor options. Tree detection was achieved through crown delineation using a pulse-coupled neural network and morphologic reconstruction applied to multispectral imagery. Through testing, it was shown to achieve a detection rate of 96%, while the accuracy in segmenting groups of trees and single trees correctly was shown to be 75%. Relative positioning using LiDAR achieved root-mean-square-error (rmse) values of 1.4 and 2.1 m for cross-track distance and along-track position, respectively, while direct georeferencing achieved rmse of 3.1 m in both instances. The estimation of pole and tree heights measured with LiDAR had rmse values of 0.4 and 0.9 m, respectively, while stereo matching achieved 1.5 and 2.9 m. Overall, a small number of poles were missed with detection rates of 98% and 95% for LiDAR and stereo matching. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TGRS.2010.2046905 | IEEE T. Geoscience and Remote Sensing |
Keywords | Field | DocType |
airborne radar,geophysical image processing,image segmentation,neural nets,optical radar,photogrammetry,remote sensing by radar,vegetation mapping,LiDAR data,aerial remote sensing techniques,airborne sensors,along-track position,cross-track distance,crown delineation,detection rate,detection rates,fixed-wing aircraft,georeferencing,ground truth data,image data,image segmentation,morphologic reconstruction,multispectral imagery,pole height,power transmission lines,power-line corridors,pulse-coupled neural network,root-mean-square-error values,stereo matching,stereo vision,tree detection,tree height,vegetation height estimation,vegetation management,vegetation mapping,Image segmentation,laser measurement applications,power transmission lines,stereo vision,vegetation mapping | Computer vision,Photogrammetry,Vegetation,Stereopsis,Segmentation,Remote sensing,Multispectral image,Image segmentation,Ground truth,Lidar,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
48 | 9 | 0196-2892 |
Citations | PageRank | References |
15 | 1.13 | 16 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steven J. Mills | 1 | 21 | 1.64 |
| Marcos P. Gerardo Castro | 2 | 15 | 1.13 |
| Zhengrong Li | 3 | 69 | 6.93 |
| Jinhai Cai | 4 | 113 | 12.11 |
| Ross Hayward | 5 | 15 | 1.13 |
| Luis Mejias | 6 | 143 | 15.42 |
| Rodney A. Walker | 7 | 40 | 4.82 |