Mathematical models of extended objects used for planning submeter resolution satellite imagery

This paper presents mathematical models describing extended objects with complex configuration used for planning satellite imagery with optoelectronic scanners of submeter spatial resolution. The most efficient spline approximation methods were used for mathematical description of extended objects w...

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Published in:IOP conference series. Materials Science and Engineering 2019-05, Vol.537 (5), p.52037
Main Authors: Mozgovoy, D K, Svinarenko, D N, Kapustina, S V, Tsarev, R Y, Yamskikh, T N, Kartsan, I N, Saleh, Ahmad M
Format: Article
Language:English
Subjects:
Angular velocity
Approximation
Computer simulation
Configurations
Mathematical analysis
Mathematical models
Optoelectronics
Satellite imagery
Spatial resolution
Swath width
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container_title IOP conference series. Materials Science and Engineering
container_volume 537
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Svinarenko, D N
Kapustina, S V
Tsarev, R Y
Yamskikh, T N
Kartsan, I N
Saleh, Ahmad M
description This paper presents mathematical models describing extended objects with complex configuration used for planning satellite imagery with optoelectronic scanners of submeter spatial resolution. The most efficient spline approximation methods were used for mathematical description of extended objects with complex configuration. The proposed method ensures obtaining maximum coverage of the extended object in one-orbit period by choosing an appropriate spline smoothing coefficient, shifting and turning coverage contour. The results of computer simulation of extended object imagery are given, taking into account the swath width of the imaging instrument, the required scanning direction and limitations on retargeting angles range and satellite angular velocities.
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subjects Angular velocity
Approximation
Computer simulation
Configurations
Mathematical analysis
Mathematical models
Optoelectronics
Satellite imagery
Spatial resolution
Swath width
title Mathematical models of extended objects used for planning submeter resolution satellite imagery
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