Name
Abstract | ||
|---|---|---|
High resolution multispectral satellite images with multi-angular look capability have tremendous potential applications. We present an object tracking algorithm that includes moving object estimation, target modeling, and target matching three-step processing. Potentially moving objects are first identified on the time-series images. The target is then modeled by extracting both spectral and spatial features. In the target matching procedure, the Bhattacharyya distance, histogram intersection, and pixel count similarity are combined in a novel regional operator design. Our algorithm has been tested using a set of multi-angular sequence images acquired by the WorldView-2 satellite. The tracking performance is analyzed by the calculation of recall, precision, and F1 score of the test. In this study, we have demonstrated the capability of object tracking in a complex environment with the help of high resolution multispectral satellite imagery. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/JSTARS.2011.2179639 | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of |
Keywords | Field | DocType |
image resolution,object tracking,satellite communication,worldview 2 satellite,high resolution multispectral satellite images,moving object estimation,multi angular look capability,target matching,target modeling,three step processing,time series images,high resolution,multispectral satellite imagery,satellites,feature extraction,time series,histograms,radar tracking | Computer vision,Histogram,Bhattacharyya distance,Satellite imagery,Multispectral image,Remote sensing,Feature extraction,Video tracking,Artificial intelligence,Pixel,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
5 | 1 | 1939-1404 |
Citations | PageRank | References |
17 | 1.06 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lingfei Meng | 1 | 17 | 1.06 |
| John P. Kerekes | 2 | 194 | 35.38 |