1 December 1995 Geometric processing of Priroda MK-4 spaceborne multispectral images
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Proceedings Volume 2646, Digital Photogrammetry and Remote Sensing '95; (1995) https://doi.org/10.1117/12.227859
Event: Digital Photogrammetry and Remote Sensing '95, 1995, St. Petersburg, Russian Federation
The cost-efficiency of photogrammetric mapping by means of spaceborne stereophotographs heavily depends on the geometric quality of the image. Geometric properties are usually inhomogeneous over the image area and very often only a part of the satellite image is used for practical cartography. In many cases digital image processing under large magnifications is required to make full use of the information capacity of spaceborne photographs with high ground resolution. The present paper deals with the geometric investigation of spaceborne multispectral images obtained by the Russian MK-4 film camera, which is reputed as being one of the best present-day operational satellite camera systems. Since no original photos were at our disposal, the investigations were performed using image copies of the first generation in analog and -- after precise digitizing -- in digital form. Geometric and resolvometric properties of MK-4 imagery taken in different spectral bands were investigated by means of analog and digital methods under large magnifications, that is 16x, 30x, and 90x. Fragmentary image processing was performed to reduce the influence of different geometric distortions and to improve the accuracy of digital stereoplotting and basic large-scale mapping in several areas of the Austrian Alps. Planimetric and elevation accuracies achieved with MK-4 image copies were very satisfactory and sufficient for digital image-based mapping at scales of 1:50,000 and even 1:25,000.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Kostka, Aleksey Sharov, "Geometric processing of Priroda MK-4 spaceborne multispectral images", Proc. SPIE 2646, Digital Photogrammetry and Remote Sensing '95, (1 December 1995); doi: 10.1117/12.227859; https://doi.org/10.1117/12.227859

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