Abstract
Based on canonical correlation analysis the iteratively re-weighted multivariate alteration detection (MAD) method is used to successfully perform unsupervised change detection in bi-temporal Landsat ETM+ images covering an area with villages, woods, agricultural fields and open pit mines in North Rhine- Westphalia, Germany. A link to an example with ASTER data to detect change with the same method after the 2005 Kashmir earthquake is given. The method is also used to automatically normalize multitemporal, multispectral Landsat ETM+ data radiometrically. IDL/ENVI, Python and Matlab software to carry out the analyses is available from the authors' websites.
| Original language | English |
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| Title of host publication | 34th International Symposium on Remote Sensing of Environment : The GEOSS Era: Towards Operational Environmental Monitoring |
| Number of pages | 4 |
| Publisher | International Society for Photogrammetry and Remote Sensing |
| Publication date | 2011 |
| Publication status | Published - 2011 |
| Event | 34th International Symposium on Remote Sensing of Environment (ISRSE2011) - Sydney Convention & Exhibition Centre , Sydney, Australia Duration: 10 Apr 2011 → 15 Apr 2011 Conference number: 34 |
Conference
| Conference | 34th International Symposium on Remote Sensing of Environment (ISRSE2011) |
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| Number | 34 |
| Location | Sydney Convention & Exhibition Centre |
| Country/Territory | Australia |
| City | Sydney |
| Period | 10/04/2011 → 15/04/2011 |
Keywords
- Computer software
- Environmental engineering
- MATLAB
- Remote sensing
- Signal detection
- Iterative methods