Name
Title | ||
|---|---|---|
Automatic Registration Of Remote Sensing Images Based On Sift And Fuzzy Block Matching For Change Detection |
Abstract | ||
|---|---|---|
This paper presents an automated image registration approach to detecting changes in multi-temporal remote sensing images. The proposed algorithm is based on the scale invariant feature transform (SIFT) and has two phases. The first phase focuses on SIFT feature extraction and on estimation of image transformation. In the second phase, Structured Local Binary Haar Pattern (SLBHP) combined with a fuzzy similarity measure is then used to build a new and effective block similarity measure for change detection. Experimental results obtained on multi-temporal data sets show that compared with three mainstream block matching algorithms, the proposed algorithm is more effective in dealing with scale, rotation and illumination changes. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1080/18756891.2011.9727838 | INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS |
Keywords | Field | DocType |
Registration, scale invariant feature transform, fuzzy membership, fuzzy similarity measure, change detection | Scale-invariant feature transform,Data set,Change detection,Similarity measure,Remote sensing,Artificial intelligence,Binary number,Computer vision,Pattern recognition,Fuzzy logic,Feature extraction,Machine learning,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
4 | 5 | 1875-6891 |
Citations | PageRank | References |
2 | 0.37 | 22 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guo-Rong Cai | 1 | 58 | 11.42 |
| Shao-Zi Li | 2 | 76 | 6.46 |
| Yun-Dong Wu | 3 | 19 | 1.05 |
| Shui-Li Chen | 4 | 54 | 14.92 |
| Song-zhi Su | 5 | 61 | 8.53 |