Abstract | ||
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This paper presents a novel approach named extinction profiles to model the spatial information of remote sensing images. Then, the output of the extinction profile is fed to a grid-search random forest classification method. Results indicate that the proposed approach can effectively extract spatial information from remote sensing gray scale images and provide high classification accuracies in an automatic way. |
Year | DOI | Venue |
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2016 | 10.1109/IGARSS.2016.7730335 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
Extinction Profile, Random Forest Classification, Remote Sensing Data | Spatial analysis,Computer vision,Satellite,Image fusion,Computer science,Remote sensing,Radio frequency,Artificial intelligence,Random forest,Image resolution,Grayscale,Extinction | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
7 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pedram Ghamisi | 1 | 827 | 46.28 |
Roberto Souza | 2 | 72 | 9.78 |
Leticia Rittner | 3 | 82 | 12.95 |
Jon Atli Benediktsson | 4 | 4064 | 251.17 |
Roberto de Alencar Lotufo | 5 | 572 | 53.61 |
Xiao Xiang Zhu | 6 | 896 | 103.00 |