Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 669-676, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/669/2015/
doi:10.5194/isprsarchives-XL-7-W3-669-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
29 Apr 2015
Automatic Near-Real-Time Image Processing Chain for Very High Resolution Optical Satellite Data
K. Oštir1,2, K. Čotar1, A. Marsetič2, P. Pehani2, M. Perše3, K. Zakšek4, J. Zaletelj5, and T. Rodič1 1Slovenian Centre of Excellence for Space Sciences and Technologies SPACE-SI, Ljubljana, Slovenia
2Research Centre of the Slovenian Academy of Sciences and Arts ZRC SAZU, Ljubljana, Slovenia
3Sinergise d.o.o., Ljubljana, Slovenia
4Institute of Geophysics, University of Hamburg, Germany
5Faculty of Electrical Engineering, University of Ljubljana, Slovenia
Keywords: Automatic image processing, Geometric corrections, Radiometric corrections, Web mapping, Earth observation Abstract. In response to the increasing need for automatic and fast satellite image processing SPACE-SI has developed and implemented a fully automatic image processing chain STORM that performs all processing steps from sensor-corrected optical images (level 1) to web-delivered map-ready images and products without operator's intervention.

Initial development was tailored to high resolution RapidEye images, and all crucial and most challenging parts of the planned full processing chain were developed: module for automatic image orthorectification based on a physical sensor model and supported by the algorithm for automatic detection of ground control points (GCPs); atmospheric correction module, topographic corrections module that combines physical approach with Minnaert method and utilizing anisotropic illumination model; and modules for high level products generation. Various parts of the chain were implemented also for WorldView-2, THEOS, Pleiades, SPOT 6, Landsat 5-8, and PROBA-V. Support of full-frame sensor currently in development by SPACE-SI is in plan.

The proposed paper focuses on the adaptation of the STORM processing chain to very high resolution multispectral images. The development concentrated on the sub-module for automatic detection of GCPs. The initially implemented two-step algorithm that worked only with rasterized vector roads and delivered GCPs with sub-pixel accuracy for the RapidEye images, was improved with the introduction of a third step: super-fine positioning of each GCP based on a reference raster chip. The added step exploits the high spatial resolution of the reference raster to improve the final matching results and to achieve pixel accuracy also on very high resolution optical satellite data.

Conference paper (PDF, 3238 KB)


Citation: Oštir, K., Čotar, K., Marsetič, A., Pehani, P., Perše, M., Zakšek, K., Zaletelj, J., and Rodič, T.: Automatic Near-Real-Time Image Processing Chain for Very High Resolution Optical Satellite Data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 669-676, doi:10.5194/isprsarchives-XL-7-W3-669-2015, 2015.

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