Analysis of remotely sensed ocean data by the optimal spectral decomposition (OSD) method

OCEANS 2009 ◽

10.23919/oceans.2009.5422453 ◽

2009 ◽

Author(s):

Peter Chu

Keyword(s):

Spectral Decomposition ◽

Remotely Sensed

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Automatic identification of end-members for the spectral decomposition of remotely sensed scenes

10.1117/12.262456 ◽

1996 ◽

Author(s):

Fabio Maselli ◽

Maurizio Pieri ◽

Claudio Conese

Keyword(s):

Spectral Decomposition ◽

Remotely Sensed ◽

Automatic Identification ◽

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Multiclass spectral decomposition of remotely sensed scenes by selective pixel unmixing

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.718648 ◽

1998 ◽

Vol 36 (5) ◽

pp. 1809-1820 ◽

Author(s):

F. Maselli

Keyword(s):

Spectral Decomposition ◽

Remotely Sensed

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Optimal Spectral Decomposition (OSD) for Remotely Sensed Ocean Data Assimilation

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2008.4779533 ◽

2008 ◽

Author(s):

Peter C. Chu

Keyword(s):

Data Assimilation ◽

Spectral Decomposition ◽

Remotely Sensed ◽

Ocean Data Assimilation

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Groundwater recharge estimation in karst aquifers of southern Apennines (Italy) by integration of remotely sensed data

Rendiconti online della Società Geologica Italiana ◽

10.3301/rol.2019.18 ◽

2019 ◽

Vol 47 ◽

pp. 97-101

Author(s):

Giovanni Ruggieri ◽

Vincenzo Allocca ◽

Flavio Borfecchia ◽

Pantaleone De Vita

Keyword(s):

Groundwater Recharge ◽

Remotely Sensed ◽

Karst Aquifers ◽

Southern Apennines ◽

Remotely Sensed Data ◽

Recharge Estimation

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Color Blending On Spectral Decomposition Method For Delineating Geological Features

10.29118/ipa.0.13.sg.037 ◽

2018 ◽

Author(s):

Garda Erlangga

Keyword(s):

Spectral Decomposition ◽

Decomposition Method ◽

Geological Features ◽

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Remotely sensed imagery revealing the effects of hurricanes Gustav and Ike on coastal Louisiana

Data Series ◽

10.3133/ds566 ◽

2010 ◽

Author(s):

John A. Barras ◽

John C. Brock ◽

Robert A. Morton ◽

Laurinda J. Travers

Keyword(s):

Remotely Sensed ◽

Remotely Sensed Imagery ◽

Coastal Louisiana

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Spectral Decomposition Formulas for Zeta-Functions of Imaginary Quadratic Fields of Class Number One

Доклады Академии наук ◽

10.31857/s086956520001187-8 ◽

2018 ◽

Vol 481 (2) ◽

pp. 127-130

Author(s):

V. Bykovskii ◽

Keyword(s):

Class Number ◽

Spectral Decomposition ◽

Zeta Functions ◽

Quadratic Fields ◽

Imaginary Quadratic Fields

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Use of Remotely Sensed Data to extract geographical information of the area around Ballıhisar (Pessinus) in Central Anatolia. Field campaign, August 1992

Anatolia Antiqua ◽

10.3406/anata.1996.1193 ◽

1996 ◽

Vol 4 (1) ◽

pp. 97-109

Author(s):

Morgan De Dapper ◽

Pascal Brackman

Keyword(s):

Remotely Sensed ◽

Geographical Information ◽

Central Anatolia ◽

Remotely Sensed Data ◽

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SPECTRAL DECOMPOSITION OF SEISMIC DATA USING SPARSE S-TRANSFORM COMPARED TO CONVENTIONAL METHODS

10.37099/mtu.dc.etdr/870 ◽

2019 ◽

Author(s):

Kara Donahue

Keyword(s):

Seismic Data ◽

Spectral Decomposition ◽

S Transform ◽

Conventional Methods

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Applying generalized additive model to integrate digital elevation model and remotely sensed data to predict the vegetation distribution

Chinese Journal of Plant Ecology ◽

10.3724/sp.j.1258.2012.01106 ◽

2013 ◽

Vol 36 (10) ◽

pp. 1106-1119

Author(s):

Chuang-Ye SONG ◽

Hui-Ming LIU ◽

Gao-Huan LIU ◽

Chong HUANG

Keyword(s):

Digital Elevation Model ◽

Generalized Additive Model ◽

Additive Model ◽

Remotely Sensed ◽

Vegetation Distribution ◽

Remotely Sensed Data ◽

Digital Elevation ◽

Elevation Model

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