Radarsat-2 DSM Generation With New Hybrid, Deterministic, and Empirical Geometric Modeling Without GCP

Digital surface models (DSMs) extracted from high-resolution Radarsat-2 stereo-images using different geometric modeling (deterministic, new hybrid, and empirical) are evaluated. The 3-D deterministic models are Toutin's and hybrid Toutin's models (TM and HTM) developed at the Canada Centre for Remote Sensing, and the empirical model is the rational function model (RFM). TM is computed with one and eight ground control points (GCPs), HTM without GCP and RFM supplied by MacDonald, Dettwiler and Associates Ltd. is postprocessed with 3-9 GCPs depending of degrees of 2-D polynomial functions. The DSMs are then generated and compared to 0.2-m accurate lidar elevation data. Because DSMs included the height of land covers, elevation linear errors with 68% and 90% confidence level (LE68 and LE90) are computed and compared over bare surfaces only. LE90 results are: TM with eight GCPs achieves the best results (6.3 m), then HTM with no GCP (7 m), TM with one GCP (8.6 m), and finally RFM the worst (9.7 m) whatever the polynomial degree and GCP number. HTM is the only modeling not using any GCP, which offers a strong advantage in operational environments.

[1]  Jong-Sen Lee,et al.  Digital Image Enhancement and Noise Filtering by Use of Local Statistics , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  John C. Curlander,et al.  Location of Spaceborne Sar Imagery , 1982, IEEE Transactions on Geoscience and Remote Sensing.

[3]  E. Nezry,et al.  Adaptive speckle filters and scene heterogeneity , 1990 .

[4]  Thierry Toutin,et al.  Error tracking of radargrammetric DEM from RADARSAT images , 1999, IEEE Trans. Geosci. Remote. Sens..

[5]  Thierry Toutin,et al.  State-of-the-art of elevation extraction from satellite SAR data , 2000 .

[6]  I. Dowman,et al.  AN EVALUATION OF RATIONAL FUNCTIONS FOR PHOTOGRAMMETRIC RESTITUTION. , 2000 .

[7]  T. Toutin,et al.  State-of-the-art of extraction of elevation data using satellite SAR data , 2000 .

[8]  J. A. Ostrowski,et al.  DEM extraction from stereo SAR satellite imagery , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[9]  Liang-Chien Chen,et al.  The Geometrical Comparisons of RSM and RFM for FORMOSAT-2 Satellite Images , 2006 .

[10]  T. Toutin.  Comparison of 3D Physical and Empirical Models for Generating DSMs from Stereo HR Images , 2006 .

[11]  P. Reinartz,et al.  Stereo Evaluation of ALOS/PRISM Data on ESA-AO Test Sites - First DLR Results , 2008 .

[12]  R. Dubayah,et al.  Comparative analysis of SRTM–NED vegetation canopy height to LIDAR‐derived vegetation canopy metrics , 2009 .

[13]  Thierry Toutin,et al.  Impact of Radarsat-2 SAR Ultrafine-Mode Parameters on Stereo-Radargrammetric DEMs , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Guo Zhang,et al.  Evaluation of the RPC model for spaceborne SAR imagery. , 2010 .

[15]  Timo Balz,et al.  Rational function modeling for spaceborne SAR datasets , 2011 .

[16]  T. Toutin,et al.  A New Hybrid Modeling for Geometric Processing of Radarsat-2 data without User's GCP , 2011 .

[17]  Thierry Toutin,et al.  State-of-the-art of geometric correction of remote sensing data: a data fusion perspective , 2011 .