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Volumn , Issue , 2014, Pages 1485-1488

Integration of optical and polarimetric SAR imagery for locally accurate crop classification

Author keywords

Crop classification; decomposition; polarimetric SAR; RADARSAT 2; RapidEye

Indexed keywords

CROPS; DECOMPOSITION; IMAGE CLASSIFICATION; INTEGRATION; POLARIMETERS; POLARIZATION; REMOTE SENSING; SYNTHETIC APERTURE RADAR;

EID: 84911428225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2014.6946718     Document Type: Conference Paper
Times cited : (5)

References (12)
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  • 4
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    • Integration of optical and synthetic aperture radar (SAR) imagery for delivering operational annual crop inventories
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    • (2009) ISPRS Journal of Photogrammetry and Remote Sensing , vol.64 , Issue.5 , pp. 434-449
    • McNairn, H.1    Champagne, C.2    Shang, J.3    Holmstrom, D.4    Reichert, G.5
  • 5
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    • Statistical assessment of eigenvector-based target decomposition theorems in radar polarimetry
    • C. Lopez-Martinez, E. Pottier, and S.R. Cloude, "Statistical assessment of eigenvector-based target decomposition theorems in radar polarimetry," IEEE Transactions on Geoscience and Remote Sensing, 43(9), pp. 2058-2074, 2005.
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.9 , pp. 2058-2074
    • Lopez-Martinez, C.1    Pottier, E.2    Cloude, S.R.3
  • 7
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    • Decomposition of the sinclair matrix into fundamental components with application to high resolution radar target imaging
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    • Krogager, E.1
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    • A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
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    • Duro, D.C.1    Franklin, S.E.2    Dubé, M.G.3
  • 11
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    • Optimizing land cover classification accuracy for change detection, a combined pixel-based and object-based approach in a mountainous area in Mexico
    • J. Aguirre-Gutiérrez, A.C. Seijmonsbergen, and J.F. Duivenvoorden, "Optimizing land cover classification accuracy for change detection, a combined pixel-based and object-based approach in a mountainous area in Mexico," Applied Geography, 34, 29-37, 2012.
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  • 12
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    • The contribution of ALOS PALSAR multipolarization and polarimetric data to crop classification
    • H. McNairn, J. Shang, X. Jiao, and C. Champagne, "The contribution of ALOS PALSAR multipolarization and polarimetric data to crop classification," IEEE Transactions on Geoscience and Remote Sensing, 47(12), pp. 3981-3992, 2009.
    • (2009) IEEE Transactions on Geoscience and Remote Sensing , vol.47 , Issue.12 , pp. 3981-3992
    • McNairn, H.1    Shang, J.2    Jiao, X.3    Champagne, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.