Name
Title | ||
|---|---|---|
Ship recognition from high resolution remote sensing imagery aided by spatial relationship |
Abstract | ||
|---|---|---|
Target recognition is of great importance for information extraction from high resolution remote sensing image. As an important kind of man-made objects, ship recognition is a key point to many applications, such as vessel monitoring and marine traffic. As spatial relationship is invariant to topology change, a method of ship recognition from high resolution remote sensing imagery aided by spatial relationship is proposed and implemented. The method includes four critical steps: water segmentation, potential ship detection, seed growing and result creation. Experiments show that this method is robust to object position, orientation, scale, and intensity, and achieve a high accuracy of ship recognition. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICSDM.2011.5969110 | ICSDM |
Keywords | Field | DocType |
remote sensing,water segmentation,image resolution,ships,ship recognition,man-made objects,target recognition,high resolution remote sensing,seed growing,image recognition,vessel monitoring,potential ship detection,feature extraction,high resolution remote sensing imagery,information extraction,object detection,spatial relationship,marine traffic,object position,pixel,image segmentation,high resolution,histograms,spatial resolution,spatial relationships | Computer vision,Geographic information system,Object detection,Histogram,Computer science,Segmentation,Remote sensing,Feature extraction,Image segmentation,Pixel,Artificial intelligence,Image resolution | Conference |
Volume | Issue | ISBN |
null | null | 978-1-4244-8352-5 |
Citations | PageRank | References |
2 | 0.40 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Wu | 1 | 96 | 28.00 |
| Jian-Cheng Luo | 2 | 99 | 20.75 |
| Cheng Qiao | 3 | 25 | 3.82 |
| Zhanfeng Shen | 4 | 68 | 12.60 |