SCOPUS 정보 검색 플랫폼

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 2758, Issue , 1996, Pages 40-50

Using maps to automate the classification of remotely-sensed imagery

(1) Carlotto, Mark J a

a Crescent Bay Software (United States)

Author keywords

Bayesian inference; Contextual information; Digital cartographic data; Maps; Multispectral classification

Indexed keywords

BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); INFERENCE ENGINES; MAPPING; MAPS; REMOTE SENSING; SPECTROSCOPY;

BAYESIAN INFERENCE; CARTOGRAPHIC DATA; CONTEXTUAL INFORMATION; LANDSAT THEMATIC MAPPER; MULTISPECTRAL CLASSIFICATION; PROBABILITY MODELING; REMOTELY SENSED DATA; REMOTELY SENSED IMAGERY;

IMAGE CLASSIFICATION;

EID: 44949229823 PISSN: 0277786X EISSN: 1996756X Source Type: Conference Proceeding
DOI: 10.1117/12.243238 Document Type: Conference Paper

Times cited : (4)

References (7)

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2
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- Analysis of geophysical remote sensing data using multivariate pattern recognition techniques
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- Anuta, P.E.¹ Huaska, H.² Levandowski, D.W.³

3
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- The integrated use of digital cartographic data and remotelysensed imagery
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- Catlow, D.R.¹ Parsell, R.J.² Wyatt, B.K.³

4
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- Techniques for combining landsat and ancillary data for digital classification improvement
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- Hutchinson, C.F.¹

5
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- Map-guided feature extraction from aerial imagery
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- McKeown, D.M.¹ Denlinger, J.L.²

6
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- The use of prior probabilities in maximum likelihood classification of remotely sensed data
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7
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- Spectral shape classification system for landsat thematic mapper
- Orlando, Florida
- Mark J. Carlotto, "Spectral shape classification system for Landsat Thematic Mapper", Proceedings SPIE, Vol. 2758, Orlando, Florida, 1996.
- (1996) Proceedings SPIE , vol.2758
- Carlotto, M.J.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.