The present paper has described main functioning principles of imagery instruments of high spatial resolution of Russian satellites “Resource-P”. Processing of images obtained from these instruments according to the level 1 includes: relative radiometric correction, stitching of video data obtained from separate CCD-matrices, geometric matching of multitemporal multispectral images from optoelectronic converters (ОЕС), pansharpening, saving of results in distribution formats. Stages for acquisition of a high-precision model for the Earth surface imagery being a base of processing are considered. Descriptions of algorithms for realization of mentioned processing types, examples of their practical usage and also precise characteristics of outputs are described.
The paper provides an overview of the terrain survey realized on the base of the Russian small space vehicle (SV) “Canopus-V”. The on-ground information technology for the SV’s data processing is considered. The suggested technology includes the primary processing of the telemetric stream data, cataloguing of survey routs and forming output information products on different standard levels. The paper does briefly describe the algorithms of cloud object detection and navigation measurement processing. Besides, the paper describes the types of output information products distributed to consumers.
The paper is devoted to the earth surface image formation by means of multi-matrix scanning cameras. The realized formation of continuous and spatially combined images consists of consistent solutions for radiometric scan correction, stitching and geo-referencing of multispectral images. The radiometric scan correction algorithm based on statistical analyses of input images is described. Also, there is the algorithm for sub-pixel stitching of scans into one continuous image which could be formed by the virtual scanner. The paper contains algorithms for geometrical combining of multispectral images obtained in different moments; and, examples illustrating effectiveness of the suggested processing algorithms.