Title | ||
---|---|---|
Classification of Detected Changes From Multitemporal High-Res Xband SAR Images: Intensity and Texture Descriptors From SuperPixels. |
Abstract | ||
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Remote sensing has been widely employed for monitoring land cover and usage by change detection techniques. In this paper, we cope with the early detection of the first signs of deforestation, which is the gateway for illegal activities, such as unauthorized urban sprawl and grazing use. In recent years, object-based approaches have emerged as a more suitable alternative than pixel-based methods f... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/JSTARS.2016.2621818 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Synthetic aperture radar,Feature extraction,Image segmentation,Remote sensing,Image resolution,Change detection algorithms,Robustness | Computer vision,Change detection,Synthetic aperture radar,Remote sensing,Supervised learning,Feature extraction,Image segmentation,Multilayer perceptron,Artificial intelligence,Cluster analysis,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 12 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thiago L. M. Barreto | 1 | 15 | 2.98 |
Rafael A. S. Rosa | 2 | 0 | 0.34 |
Christian Wimmer | 3 | 31 | 6.32 |
João R. Moreira | 4 | 24 | 8.88 |
Leonardo S. Bins | 5 | 0 | 0.34 |
Fábio A. M. Cappabianco | 6 | 93 | 10.89 |
Jurandy Almeida | 7 | 431 | 35.15 |