Name
Abstract | ||
|---|---|---|
Segmentation algorithms applied to remote sensing data provide valuable information about the size, distribution and context of landscape objects at a range of scales. However, there is a need for well-defined and robust validation tools to assessing the reliability of segmentation results. Such tools are required to assess whether image segments are based on ‘real’ objects, such as field boundaries, or on artefacts of the image segmentation algorithm. These tools can be used to improve the reliability of any land-use/land-cover classifications or landscape analyses that is based on the image segments. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.jag.2006.10.002 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Segmentation,Landsat,Field detection,Validation,Accuracy,Object metric | Scale-space segmentation,Remote sensing,Segmentation-based object categorization,Image segmentation,Software,Artificial intelligence,Geography,Minimum spanning tree-based segmentation,Pattern recognition,Segmentation,Simulation,Image texture,Fractal | Journal |
Volume | Issue | ISSN |
9 | 3 | 0303-2434 |
Citations | PageRank | References |
44 | 7.74 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Markus Möller | 1 | 55 | 11.15 |
| Leo Lymburner | 2 | 91 | 14.23 |
| M. Volk | 3 | 44 | 7.74 |