Name
Title | ||
|---|---|---|
A Texture Analysis Approach to Identifying Sabellaria Spinulosa Colonies in Sidescan Sonar Imagery. |
Abstract | ||
|---|---|---|
Offshore wind farms are undergoing unprecedented development as EU member states focus on complying with 2020 renewable energy mandates. However, wind farm site placement requires great care, to avoid compromising protected habitats, such as Sabellaria spinulosa reefs. This paper presents an investigation into the potential of different feature generation methods for identifying sides can sonar image textures characteristic of Sabellaria spinulosa colonies. We propose an extensible test methodology and carry out a detailed comparison of several textural features. Our results show that Gabor filter bank features yield good (up to 89.4% overall) classification accuracies and often outperform other methods in identifying the Sabellaria spinulosa textural class. A Dual-Tree Complex Wavelet Transform, Ring filters and some statistical methods also produce encouraging results. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IMVIP.2011.19 | IMVIP |
Keywords | DocType | Citations |
complex wavelet transform,eu member state,wind farm site placement,gabor filter bank feature,texture analysis approach,sabellaria spinulosa textural class,sidescan sonar imagery,offshore wind farm,textural feature,classification accuracy,sabellaria spinulosa reef,sabellaria spinulosa colony,identifying sabellaria spinulosa colonies,imaging,vectors,sonar,accuracy,image segmentation | Conference | 2 |
PageRank | References | Authors |
0.50 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Richard Harrison | 1 | 2 | 0.50 |
| Francesco Bianconi | 2 | 311 | 18.11 |
| Richard Harvey | 3 | 25 | 3.91 |
| Wenjia Wang | 4 | 57 | 9.12 |