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

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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Bibliographic Details
Main Authors: Marinalva Dias Soares, Luciano Vieira Dutra, Gilson Alexandre Ostwald Pedro da Costa, Raul Queiroz Feitosa, Rogério Galante Negri, Pedro M. A. Diaz
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
region-based classification
geobia
sar classification
lulc classification
sar data segmentation
segmentation tuning
meta-methodologies
Online Access:https://www.mdpi.com/2072-4292/12/6/961

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https://www.mdpi.com/2072-4292/12/6/961

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