scientific edition of Bauman MSTU
SCIENCE & EDUCATION
Bauman Moscow State Technical University. El № FS 77 - 48211. ISSN 1994-0408
Publications - defocusing
77-30569/261314 Method of equipment’s and aerial reconnaissance modes’ system analysis
# 11, November 2011
This article is based on the results of the development of method and tools for production of the requirements for navigational equipment, information support and system of aerial reconnaissance aircraft (AC) flight, providing the required quality of recorded aerial films. The research of this development process was carried out considering principal (theoretical) restraints of aerial reconnaissance complexes’ abilities and information technologies, solving problems of recording and recognition of aerial reconnaissance data. Aerial photo equipment (APE), APE stabilizing systems for different carriers and methods of defocused and blurred image reconstruction were also considered in this article.
77-30569/322927 Analysis of methods and means of controlling Earth remote sensing systems
# 02, February 2012
This paper covers the research results oand analysis of methods and means of technical assessment of the condition of Earth remote sensing (ERS) systems during the test and on-stream periods. The obtained results are to provide a basis for further development of testing equipment for Earth remote sensing systems; moreover, they will provide a huge base of technical documentation (standards, guidelines for aircraft equipment testing etc.) for estimation of basic parameters which characterize the efficiency of application of digital observation equipment and their technical condition. The authors proposed a technique of online testing of the transfer function of remote sensing equipment during the on-stream period with a subsequent compensation of defocusing.
Program Complex of Pretreatment Imaging for Detection and Image Recognition
# 04, April 2014
This article describes a workstation designed to create programs of pretreatment images for subsequent detection and recognition. It considers the methods and algorithms for solving the inverse problem of image processing, which arise, for example, with aerial drones being not equipped with a gyro stabilization system of aerial cameras. These include a problem of defocus and blurring recovery in the resulting images. A developed image processing software includes: defocusing and blurring recovery (an inverse problem solution); filtration; "joining frames" for the synthesis of the frame (merging into panorama) from the fragments. The article presents the interface of software support for most of the above algorithms and the results of studies using the numerical experiment.