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1مؤتمر
المؤلفون: Odagawa, Shinya, Kato, Masatane, Suhama, Tomoyuki, Sasaki, Jiro, Kuniaki, Uto, Kosugi, Yukio, Saito, Genya
المصدر: 2009 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009. 3:III-565-III-568 Jul, 2009
Relation: IGARSS 2009 - 2009 IEEE International Geoscience and Remote Sensing Symposium
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2مؤتمر
المؤلفون: Odagawa, Shinya, Kato, Masatane, Suhama, Tomoyuki, Sasaki, Jiro, Uto, Kuniaki, Kosugi, Yukio, Saito, Genya
المصدر: IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International. 3:III - 716-III - 719 Jul, 2008
Relation: IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
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3
المؤلفون: Uto Kuniaki, Jiro Sasaki, Tomoyuki Suhama, Yukio Kosugi, Genya Saito, Shinya Odagawa, Masatane Kato
المصدر: IGARSS (3)
مصطلحات موضوعية: Coefficient of determination, Hyperspectral imaging, Data analysis, PLS, Normalized Difference Vegetation Index, Partial Least Squares, remote sensing, Wavelength measurement, Vegetation index, vegetation, crude protein, Yield (wine), Partial least squares regression, AISA instrument, Remote sensing, Mathematics, Spatial resolution, quality estimation, NDSI, Satellite ground stations, Proteins, Paddy crude protein, Vegetation, brown rice, airborne hyperspectral sensor, Yield estimation, Hyperspectral sensors, Hyperspectral data application, vegetation indices, Normalized Difference Spectral Index, Brown rice, Bidirectional reflectance distribution function, paddy yield
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24c49f9732fd8f123d57b2cbc176f357
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100695770 -
4
المؤلفون: T. Suhama, Jiro Sasaki, Genya Saito, Shinya Odagawa, Yukio Kosugi, Kuniaki Uto, Masatane Kato
المصدر: IGARSS (3)
مصطلحات موضوعية: MFAES, Hyperspectral imaging, Bidirectional Reflectance Distribution Function, sensors, spaceborne hyperspectral sensor, Crude protein content percentage, spaceborne radar, AISA, Spaceborne radar, atmospheric boundary layer, Japan, airborne radar, remote sensing by radar, Rice yield, Remote sensing, FOV, Miyagi Prefectural Furukawa Agricultural Experiment Station, BRDF, crude protein estimation, crops, Reflectivity, airborne hyperspectral sensor, Yield estimation, Hyperspectral data application, Environmental science, Bidirectional reflectance distribution function, rice yield estimation, FieldSpec measurement
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dace7ed797f537d5f00a77c5363c6d6
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100695766