Change detection analysis of forest areas using satellite stereo data
| dc.contributor.author | Tian, Jiaojiao | |
| dc.contributor.author | Reinartz, Peter | |
| dc.contributor.author | D'angelo, Pablo | |
| dc.contributor.editor | Clasen, Michael | |
| dc.contributor.editor | Fröhlich, Georg | |
| dc.contributor.editor | Bernhardt, Heinz | |
| dc.contributor.editor | Hildebrand, Knut | |
| dc.contributor.editor | Theuvsen, Brigitte | |
| dc.date.accessioned | 2018-11-26T09:55:03Z | |
| dc.date.available | 2018-11-26T09:55:03Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | Tree height is a fundamental parameter for describing the forest situation which can be determined by different means. In this paper a novel region based forest change detection method is proposed using panchromatic CARTO-SAT-1 stereo imagery. In the first step, DSMs from two dates are generated based on a new dense matching methodology called semi-global matching. To achieve reliable change detection a multi-step procedure has been developed using a combination of image data and DSMs. After 3D co-registration of the two DSMs, the othorectificated images are generated based on these DEMs. Mean-shift segmentation is applied to the ortho-images to get the initial regions. Following, the height change is extracted as well as grey value changes based on a region based level. The fusion of the several kinds of change sources are performed under the Dempster-Shafer statistical theory. To further improve the change detection result, texture measures called Grey Level Co-occurrence Matrix (GLCM) features are derived with changing window size and displacements and are analysed to extract the real forest change area. The test data are acquired over a forest area close to Freising, Germany, which consist of two pairs of stereo data from the year 2008 and 2009. Evaluation of the proposed approach proves its efficiency and accuracy. | en |
| dc.identifier.isbn | 978-3-88579-288-8 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/18466 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Informationstechnologie für eine nachhaltige Landbewirtschaftung – Fokus: Forstwirtschaft | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-194 | |
| dc.title | Change detection analysis of forest areas using satellite stereo data | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 314 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 311 | |
| gi.conference.date | 29. Februar-1. März 2012 | |
| gi.conference.location | Freising | |
| gi.conference.sessiontitle | Regular Research Papers |
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