Name
Title | ||
|---|---|---|
Multi scale representation for remotely sensed images using fast anisotropic diffusion filtering |
Abstract | ||
|---|---|---|
Object based image analysis has gained on the traditional per-pixel multi-spectral based approaches. The main pitfall of using anisotropic diffusion for creating a multi scale representation of a remotely sensed image remains the computational burden. Producing the coarser scales in a multi scale representation or, diffusing spatially large images involves significant time and resources. This paper proposes a fast approach for anisotropic diffusion that overcomes spatial size limitations by distributing the diffusion as individual sub-processes over several overlapping sub-images. The overlap areas are synchronized at specific diffusion time ensuring that the fast approximation does not deviate too much from its single process equivalent. This demonstrated for an image, which can be diffused using a traditional sequential approach. In addition, experimental data for very large images that can not efficiently be processed using a sequential approach is illustrated. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IGARSS.2010.5651194 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
filtering theory,image representation,remote sensing,fast anisotropic diffusion filtering,multi scale representation,object based image analysis,remotely sensed images,(very) high resolution images,Image enhancement,anisotropic diffusion,multi-process,parallel computing | Anisotropic diffusion,Computer vision,Synchronization,Experimental data,Computer science,Image representation,Remote sensing,Artificial intelligence,Pixel,Anisotropic diffusion filtering,Filtering theory,Image resolution | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4244-9564-1 | 978-1-4244-9564-1 | 1 |
PageRank | References | Authors |
0.35 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iris Vanhamel | 1 | 100 | 9.96 |
| Musa Alrefaya | 2 | 1 | 0.35 |
| Hichem Sahli | 3 | 475 | 65.19 |