Abstract
Road detection is an important task of remote sensing images processing. With the feature of combining picture and spectrum, hyperspectral images present new useful information resource for road detection. With the requirement of remote sensing road detection, a new method for road detection and extraction based on hyperspectral images is proposed. Firstly, independent component analysis and linear mixture model are used to unsupervised unmix the hyperspectral images, and the unmixed independent component including road information is obtained. Then, the road detection and extraction is achieved by means of ratio operator and Hough transform. The results from simulation experiments demonstrate the validity of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 50-54 |
| Number of pages | 5 |
| Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
| Volume | 38 |
| Issue number | 2A |
| State | Published - Feb 2010 |
Keywords
- Hyperspectral images
- Independent component analysis
- Road detection
- Spectral unmixing
Fingerprint
Dive into the research topics of 'A spectral unmixing-based method for road detection in hyperspectral images'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver