Bryukhovetskiy O. Computational methods of data processing for detection for detection of objects with locally constant parameters of apparent motion

3. Object of research - data processing for detection of objects with local constant parameters of apparent movement. Research objective - improvement of accuracy in detection of objects with local constant parameters of apparent movement with acceptable computational costs using effective computational methods of data processing for automated detection of objects with local constant parameters of apparent movement. Research methods - Main results were obtained using linear regression analysis and methods of optimization theory that permitted development of computational method for data processing of apparent signal's brightness received from an object; statistic theory of hypothesis verification, parameters evaluation and methods of digital processing for location data that helped to develop computational methods of data processing for objects' detection and evaluation of their local constant parameters of apparent brightness; method of statistic modeling and processing of full-scale data proving credibility of obtained theoretic results. Equipment - the personal computer. Theoretical and practical results: using information about local constancy of parameters of objects' apparent movement to increase probability of their detection with many motionless objects on the background represents a real contribution to the development of digital processing of location data; developed computational methods of data processing can be applied in different software creation for automated detection of objects during interframe processing for detection of objects with local constant parameters of apparent movement and parameters' evaluation of their apparent movement. Science novelty: updated computational method of data processing for object's apparent brightness evaluation permits to decrease value of standard deviation of apparent brightness of barely visible objects comparing with traditional methods; for the first time we introduced double-stage hierarchical computational method of data processing for detection of object with local constant parameters of apparent movement that permits (due to the double-stage data storage along all possible objects' trajectories) to increase potential values of moving objects' detection quality up to the values of motionless objects' detection quality; updated amplitude-coordinates computational method of data processing for object's detection and parameters evaluation for its apparent brightness' trajectory that permits to reduce number of false detection of objects comparing with methods used before. Results of the present dissertational work were implemented in development of software for scanned astronomical photographic plates' processing (Main Astronomical Observatory NAS of Ukraine) for detection and observation of asteroids and comets in both Keldysh Institute of Applied Mathematics RAS and Andrushivka astronomical observatory. The present software's implementation permitted to obtain the 8th (ISON-NM observatory) and the 13th (Andrushivka astronomical observatory) places in the world rating after the quantity of asteroids' observations in 2011. The following discoveries were done due to this software: 864 asteroids (for December 10, 2011), one Near-Earth Asteroid, 2 comets (C/2010 X1 (Elenin) и P/2011 NO1), the first automated discovery of an asteroid on CIS territory. Scientific, theoretical and practical results of the present dissertational work can be used in: facilities or software for location data processing; development of new observation facilities (both optical and radio).