000			03231nla2a2200337 4500
001			646764
005			20231030040739.0
035			_a(RuTPU)RU\TPU\network\11900
090			_a646764
100			_a20160315a2015 k y0rusy50 ba
101	0		_aeng
105			_aa z 101zy
135			_adrcn ---uucaa
181		0	_ai
182		0	_ab
200	1		_aNeural network technologies for image classification _fA. M. Korikov, A. V. Tungusova
203			_aText _celectronic
300			_aTitle screen
320			_a[References: 7 tit.]
330			_aWe analyze the classes of problems with an objective necessity to use neural network technologies, i.e. representation and resolution problems in the neural network logical basis. Among these problems, image recognition takes an important place, in particular the classification of multi-dimensional data based on information about textural characteristics. These problems occur in aerospace and seismic monitoring, materials science, medicine and other. We reviewed different approaches for the texture description: statistical, structural, and spectral. We developed a neural network technology for resolving a practical problem of cloud image classification for satellite snapshots from the spectroradiometer MODIS. The cloud texture is described by the statistical characteristics of the GLCM (Gray Level Co- Occurrence Matrix) method. From the range of neural network models that might be applied for image classification, we chose the probabilistic neural network model (PNN) and developed an implementation which performs the classification of the main types and subtypes of clouds. Also, we chose experimentally the optimal architecture and parameters for the PNN model which is used for image classification. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
333			_aРежим доступа: по договору с организацией-держателем ресурса
461		1	_0(RuTPU)RU\TPU\network\12028 _tProceedings of SPIE
463		0	_0(RuTPU)RU\TPU\network\12443 _tVol. 9680 : Atmospheric and Ocean Optics: Atmospheric Physics _o21st International Symposium, 22–26 June 2015, Tomsk, Russian Federation _o[proceedings] _fInstitute of Atmospheric Optics SB RAS ; ed. G. G. Matvienko, O. A. Romanovskii _v[968023, 4 p.] _d2015
610	1		_aэлектронный ресурс
610	1		_aтруды учёных ТПУ
700		1	_aKorikov _bA. M. _cradiophysicist, specialist in the field of informatics and computer technology _cProfessor of Tomsk Polytechnic University, doctor of technical sciences _f1942- _gAnatoly Mikhailovich _2stltpush _3(RuTPU)RU\TPU\pers\35166
701		1	_aTungusova _bA. V. _gAnna Vladimirovna
712	0	2	_aНациональный исследовательский Томский политехнический университет (ТПУ) _bИнститут кибернетики (ИК) _bКафедра автоматики и компьютерных систем (АИКС) _h125 _2stltpush _3(RuTPU)RU\TPU\col\18698
801		2	_aRU _b63413507 _c20160404 _gRCR
856	4		_uhttp://dx.doi.org/10.1117/12.2205896
942			_cCF