Processors for ALOS Optical Data: Deconvolution, DEM Generation, Orthorectification, and Atmospheric Correction

The German Aerospace Center (DLR) is responsible for the development of prototype processors for PRISM and AVNIR-2 data under a contract of the European Space Agency. The PRISM processor comprises the radiometric correction, an optional deconvolution to improve image quality, the generation of a digital elevation model, and orthorectification. The AVNIR-2 processor comprises radiometric correction, orthorectification, and atmospheric correction over land. Here, we present the methodologies applied during these processing steps as well as the results achieved using the processors.

[1]  Tobias Storch,et al.  Evaluation of Deconvolution Methods for PRISM Images , 2009 .

[2]  R. Richter,et al.  Implementation of the Automatic Processing Chain for ARES , 2005 .

[3]  IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 34. NO. 4, JULY 1996 Universal Multifractal Scaling of Synthetic , 1996 .

[4]  Nick G. Kingsbury,et al.  The dual-tree complex wavelet transform: A new efficient tool for image restoration and enhancement , 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

[5]  Daniel Schläpfer,et al.  An automatic atmospheric correction algorithm for visible/NIR imagery , 2006 .

[6]  Rudolf Richter Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery , 2008, Sensors.

[7]  Manabu Watanabe,et al.  Overview of ALOS research and science program , 2004, SPIE Remote Sensing.

[8]  Peter Reinartz,et al.  EVALUATION OF SPACEBORNE AND AIRBORNE LINE SCANNER IMAGES USING A GENERIC ORTHO IMAGE PROCESSOR , 2005 .

[9]  Peter Reinartz,et al.  The Future Spaceborne Hyperspectral Imager EnMAP: Its Calibration, Validation, and Processing Chain , 2008 .

[10]  L. Lucy An iterative technique for the rectification of observed distributions , 1974 .

[11]  D. C. Robertson,et al.  MODTRAN cloud and multiple scattering upgrades with application to AVIRIS , 1998 .

[12]  J. Cihlar,et al.  An image transform to characterize and compensate for spatial variations in thin cloud contamination of Landsat images , 2002 .

[13]  William H. Richardson,et al.  Bayesian-Based Iterative Method of Image Restoration , 1972 .

[14]  David L. Donoho,et al.  De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.

[15]  Rupert Müller,et al.  Quality Check of MOMS-2P Orthoimages of Semi-Arid Landscapes , 2003 .

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

[17]  Lorraine Remer,et al.  The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol , 1997, IEEE Trans. Geosci. Remote. Sens..

[18]  Timo Bretschneider On the deconvolution of satellite imagery , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[19]  R. Mersereau,et al.  Iterative methods for image deblurring , 1990 .

[20]  R. Richter A spatially adaptive fast atmospheric correction algorithm , 1996 .

[21]  Josiane Zerubia,et al.  Satellite image deconvolution using complex wavelet packets , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[22]  P. Reinartz,et al.  Stereo Evaluation of Cartosat-1 Data for French and Catalonian Test Sites , 2007 .

[23]  Matthias Pruksch,et al.  Positive Iterative Deconvolution in Comparison to Richardson-Lucy Like Algorithms , 1998 .

[24]  B. Koch,et al.  MOMS-02/D2: First results and future applications , 1994 .

[25]  R. Richter,et al.  Correction of satellite imagery over mountainous terrain. , 1998, Applied optics.