Abstract
A method is proposed for building and road detection on VHR multispectral aerial images of dense urban areas. Spatial and spectral features of segmented areas are classified using a 3-class SVM integrating some a priori and contextual information to handle unclassified patterns and conflicts. Geometrical object features and additional information improve the classification accuracy in the difficult case where many building roofs are grey like the roads and have similar geometry. Also, road network regularization is suggested to improve the classification accuracy.
| Original language | English |
|---|---|
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 38 |
| Issue number | 4C7 |
| Publication status | Published - 2010 |
| Event | Geographic Object-Based Image Analysis, GEOBIA 2010 - Ghent, Belgium Duration: 29 Jun 2010 → 2 Jul 2010 |
Keywords
- Classifier combination
- Mean shift
- Support vector machine
- Very high spatial resolution image