Development of techniques for automated decoding of aerospace images. Object picture interpretive features on multispectral satellite images

Aerophototopography (Aerial Surveying And Photogrammetry)
UDC: 
528.7+528.87
1 Guk A.P.
2 Evstratova L.G.
3 Khlebnikov E.P.
4 Altyntsev M.A.
5 Arbuzov S.A.
6 Gordienko A.S.
7 Guk A.A.
8 Simonov D.P.
Year: 
2013
№: 
7
877
Pages: 
31-40

SGGA

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Lomonosov Moscow State University (MSU)

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Abstract:
Methods and algorithms of automatic classification of medium and high resolution satellite images are described. The using of new approach to image recognition based on Furrier and wavelet analyses are presented. The principal Component Analysis using Tasseled Cup for image FORMOSAT-2 shown in the article. The article is supplied with the list of literature issued by the department of photogrammetry and remote sensing of SSGA in the field of automatic image classifications.
Citation:
Guk A.P., 
Evstratova L.G., 
Khlebnikov E.P., 
Altyntsev M.A., 
Arbuzov S.A., 
Gordienko A.S., 
Guk A.A., 
Simonov D.P., 
(2013) Development of techniques for automated decoding of aerospace images. Object picture interpretive features on multispectral satellite images. Geodesy and cartography = Geodeziya i Kartografiya, (7), pp. 31-40. (In Russian).
Publication History

Content

2013 July