Name
Title | ||
|---|---|---|
Alignment and Parallelism for the Description of High-Resolution Remote Sensing Images |
Abstract | ||
|---|---|---|
Alignment and parallelism are frequently found between objects in high-resolution remote sensing images and can be used to interpret and describe the observed scenes. In this paper, we propose new representations of parallelism and alignment as fuzzy spatial relations, which capture the imprecision in the semantics of both relations. We propose two novel definitions of alignment between objects: local and global. In local alignment, each object of the group is aligned with its neighbors, while in global alignment, every object of the group is aligned to all other members. Both definitions consider each object as a whole and are based on relative position measures. They are robust with respect to segmentation errors. Furthermore, we propose an efficient graph-based method to determine which are the locally and the globally aligned groups of objects from a set of segmented objects. In addition, we propose a fuzzy definition for the parallel relation, which is also based on relative position measures and is adequate to represent the parallelism between a globally aligned group of objects and another object or group of objects. Illustrative examples on optical satellite images show the description power of these two relations and their combination for image interpretation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TGRS.2012.2225628 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
fuzzy set theory,graph theory,image representation,image resolution,image segmentation,natural scenes,remote sensing,fuzzy definition,fuzzy spatial relation,global alignment,graph-based method,high-resolution remote sensing image,image interpretation,object alignment representation,object segmentation error,observed scene,parallel relation,parallelism representation,relation semantics,Alignment,fuzzy spatial relations,high-resolution remote sensing imaging,image interpretation,parallelism,spatial reasoning | Spatial relation,Remote sensing,Fuzzy set,Image segmentation,Artificial intelligence,Graph theory,Computer vision,Pattern recognition,Segmentation,Fuzzy logic,Smith–Waterman algorithm,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
51 | 6 | 0196-2892 |
Citations | PageRank | References |
8 | 0.50 | 27 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Carolina Vanegas | 1 | 8 | 0.50 |
| Isabelle Bloch | 2 | 2123 | 170.75 |
| Jordi Inglada | 3 | 426 | 43.13 |