Name
Title | ||
|---|---|---|
A New Approach for Spatio-Spectral Feature Selection for Sensors with Noisy and Overlapping Spectral Bands |
Abstract | ||
|---|---|---|
Infrared (IR) spectral imaging continues to attract attention as it offers a powerful solution to a wide range of challenging problems in remote sensing. The increased number and the complexity of these applications triggered the development of smaller size and lower cost remote sensing instruments and have led to significant improvements in the hardware and software systems designed to process the collected data. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/IGARSS.2008.4780109 | IGARSS |
Keywords | Field | DocType |
feature selection,remote sensing,hyperspectral sensors,sensors,infrared,noise figure,image sensors,spectral imaging,pixel,software systems,feature extraction,image classification,signal to noise ratio,testing,canonical correlation analysis,hyperspectral imaging | Feature selection,Computer science,Remote sensing,Artificial intelligence,Spectral bands,Contextual image classification,Computer vision,Object detection,Pattern recognition,Image sensor,Feature extraction,Hyperspectral imaging,Pixel | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Biliana S. Paskaleva | 1 | 9 | 2.02 |
| Majeed M. Hayat | 2 | 213 | 26.36 |
| Woo-Yong Jang | 3 | 3 | 1.72 |
| Sanjay Krishna | 4 | 11 | 3.62 |