Logo des Repositoriums
 
Konferenzbeitrag

Change detection analysis of forest areas using satellite stereo data

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2012

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

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.

Beschreibung

Tian, Jiaojiao; Reinartz, Peter; D'angelo, Pablo (2012): Change detection analysis of forest areas using satellite stereo data. Informationstechnologie für eine nachhaltige Landbewirtschaftung – Fokus: Forstwirtschaft. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-288-8. pp. 311-314. Regular Research Papers. Freising. 29. Februar-1. März 2012

Schlagwörter

Zitierform

DOI

Tags