REGION BASED FOREST CHANGE DETECTION FROM CARTOSAT-1 STEREO IMAGERY

Tree height is a fundamental parameter for describing the forest situation and changes. The latest development of automatic Digital Surface Model (DSM) generation techniques allows new approaches of forest change detection from satellite stereo imagery. This paper shows how DSMs can support the change detection in forest area. A novel region based forest change detection method is proposed using single-channel CARTOSAT-1 stereo imagery. In the first step, DSMs from two dates are generated based on automatic matching technology. After co-registration and normalising by using LiDAR data, the mean-shift segmentation is applied to the original pan images, and the images of both dates are classified to forest and non-forest areas by analysing their histograms and height differences. In the second step, a rough forest change detection map is generated based on the comparison of the two forest map. Then the GLCM texture from the nDSM and the Cartosat-1 images of the resulting regions are analyzed and compared, the real changes are extracted by SVM based classification.

[1]  George Kroenung,et al.  Filling SRTM Voids: The Delta Surface Fill Method , 2006 .

[2]  J. Mas.  Monitoring land-cover changes: A comparison of change detection techniques , 1999 .

[3]  A. Grün,et al.  LEAST SQUARES 3D SURFACE MATCHING , 2004 .

[4]  D. Lu,et al.  Change detection techniques , 2004 .

[5]  Joanne C. White,et al.  Segment-constrained regression tree estimation of forest stand height from very high spatial resolution panchromatic imagery over a boreal environment , 2010 .

[6]  António dos Anjos,et al.  Bi-Level Image Thresholding - A Fast Method , 2008, BIOSIGNALS.

[7]  Siamak Khorram,et al.  The effects of image misregistration on the accuracy of remotely sensed change detection , 1998, IEEE Trans. Geosci. Remote. Sens..

[8]  M. Bauer,et al.  Digital change detection in forest ecosystems with remote sensing imagery , 1996 .

[9]  P. Reinartz,et al.  3D Building Change Detection from High Resolution Spaceborne Stereo Imagery , 2011, 2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping.

[10]  W. Malila.  Change Vector Analysis: An Approach for Detecting Forest Changes with Landsat , 1980 .

[11]  Patrick Bogaert,et al.  Forest change detection by statistical object-based method , 2006 .

[12]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  S. Prabaharan,et al.  Remote Sensing and GIS Applications on Change Detection Study in Coastal Zone Using Multi Temporal Satellite Data , 2010 .

[14]  Lorenzo Bruzzone,et al.  An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images , 1997, IEEE Trans. Geosci. Remote. Sens..

[15]  Peter Reinartz,et al.  Towards Automated DEM Generation from High Resolution Stereo Satellite Images , 2008 .

[16]  J. Kamini,et al.  Spatio-temporal analysis of land use in urban mumbai -using multi-sensor satellite data and gis techniques , 2006 .

[17]  R. D. Johnson,et al.  Change vector analysis: A technique for the multispectral monitoring of land cover and condition , 1998 .