Adaptive Multi-image Matching Algorithm for the Airborne Digital Sensor Ads40
نویسندگان
چکیده
In the recent years, the development of digital aerial sensors signifies a revolutionary change in aerial image acquisition, and the possibility of fully digital processing from image acquisition to the generation of value-added products for various applications. LH Systems developed the ADS40, a pushbroom sensor system, which offers on a single camera system the possibility to acquire 3 panchromatic and 4 multispectral images, broadening thus the possible application areas of the sensor. The radiometric characteristics of ADS40 imagery at raw and rectified level are investigated for various data sets. New algorithms of pre-processing of images that sharpen edge definition, enhance contrast and optimally reduce image data to 8 bit are applied prior to matching. The development of an adaptive multi-image matching algorithm for ADS40 data, is the main subject of the work presented in this paper. In the current investigations, only the 3 panchromatic channels have been used and matching is based on cross-correlation or similar measures to provide pixelaccurate positions, which are to be subsequently refined, using sub-pixel matching techniques. The geometry of the sensor is used to apply constraints for matching and the concept of epipolar lines is modified for the ADS40, since each line has its own position and attitude, and the geometry is perspective only on the CCD line direction. Edge pixels are selected for matching, since they can better model discontinuities and have sufficient texture. A modified image pyramid approach, using doublets, is used for derivation of approximations. Quality criteria that are computed during runtime are combined to eliminate errors. Test results are presented, using for the time being only visual control.
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