A Meta-Methodology for Improving Land Cover and Land Use Classification with SAR Imagery

Per-point classification is a traditional method for remote sensing data classification, and for radar data in particular. Compared with optical data, the discriminative power of radar data is quite limited, for most applications. A way of trying to overcome these difficulties is to use Region-Based...

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מידע ביבליוגרפי

Principais autores:	Marinalva Dias Soares, Luciano Vieira Dutra, Gilson Alexandre Ostwald Pedro da Costa, Raul Queiroz Feitosa, Rogério Galante Negri, Pedro M. A. Diaz
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2020-03-01
סדרה:	Remote Sensing
נושאים:	region-based classification geobia sar classification lulc classification sar data segmentation segmentation tuning meta-methodologies
גישה מקוונת:	https://www.mdpi.com/2072-4292/12/6/961
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