Name
Title | ||
|---|---|---|
Histogram-Based Attribute Profiles for Classification of Very High Resolution Remote Sensing Images. |
Abstract | ||
|---|---|---|
Morphological attribute profiles (APs) obtained by the sequential application of morphological attribute filters to images have been found very effective in remote sensing (RS) to characterize spatial properties of objects in a scene. However, a direct use of the APs can be insufficient to provide a complete characterization of spatial information when complex texture is present in the considered ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TGRS.2015.2496167 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Histograms,Kernel,Image resolution,Feature extraction,Remote sensing,Standards,Support vector machines | Histogram,Remote sensing,Artificial intelligence,Classifier (linguistics),Kernel (linear algebra),Computer vision,Texture Descriptor,Pattern recognition,Support vector machine,Feature extraction,Pixel,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
54 | 4 | 0196-2892 |
Citations | PageRank | References |
3 | 0.36 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Begüm Demir | 1 | 339 | 30.36 |
| Lorenzo Bruzzone | 2 | 4952 | 387.72 |