Name
Title | ||
|---|---|---|
Neural Network Based Dunal Landform Mapping From Multispectral Images Using Texture Features |
Abstract | ||
|---|---|---|
This paper presents a study towards machine generation of landform maps from optical remote sensing data. Our approach uses an offline trained multilayer perceptron (MLP) as a classifier, which is subsequently used to identify the landform classes in a satellite image. The paper emphasizes building a reasonably extensive database using multispectral images from which relevant texture information i... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/JSTARS.2010.2062491 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Remote sensing,Image color analysis,Artificial neural networks,Satellites,Accuracy,Feature extraction,Training | Computer vision,Feature vector,Image texture,Remote sensing,Multispectral image,Feature extraction,Multilayer perceptron,Landform,Artificial intelligence,Backpropagation,Artificial neural network,Mathematics | Journal |
Volume | Issue | ISSN |
4 | 1 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pinaki Roy Chowdhury | 1 | 6 | 1.66 |
| Benidhar Deshmukh | 2 | 1 | 0.84 |
| a goswami | 3 | 0 | 0.34 |
| s prasad | 4 | 0 | 0.34 |