Name
Abstract | ||
|---|---|---|
Building detection from two-dimensional high-resolution satellite images is a computer vision, photogrammetry, and remote sensing task that has arisen in the last decades with the advances in sensors technology and can be utilized in several applications that require the creation of urban maps or the study of urban changes. However, the variety of irrelevant objects that appear in an urban environ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JSTARS.2016.2602439 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Buildings,Feature extraction,Shape,Satellites,Detectors,Support vector machines,Image segmentation | Computer vision,Photogrammetry,Histogram,Segmentation,Support vector machine,Remote sensing,Local binary patterns,Feature extraction,Image segmentation,Artificial intelligence,Detector,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 3 | 1939-1404 |
Citations | PageRank | References |
5 | 0.45 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dimitrios Konstantinidis | 1 | 5 | 0.45 |
| Tania Stathaki | 2 | 359 | 37.45 |
| Vasileios Argyriou | 3 | 279 | 30.51 |
| Grammalidis, N. | 4 | 9 | 1.68 |