Supervised Classification of Spectral Signatures from Agricultural Land-Cover in Panama Using the Spectral Angle Mapper Algorithm

In this article the development of a database of referenced spectral signatures from agricultural land-cover for the Republic of Panama is presented. This database consists of reflectance spectra measured on crops and low vegetation, such as: rice, chili, onion, watermelon, maize and bare soil and o...

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Veröffentlicht in:	2019 XLV Latin American Computing Conference (CLEI) S. 1 - 7
Hauptverfasser:	Sanchez-Galan, Javier E., Reyes, Jorge Serrano, Jimenez, Jose Ulises, Quiros-McIntire, Evelyn Itzel, Fabrega, Jose R.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2019
Schlagworte:	agricultural landcover Agriculture Biomedical imaging Instruments remote sensing satellite image Satellites Software Soil Spectral library spectral signature supervised classification
Online-Zugang:	Volltext
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