Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil

Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil

Only well-chosen segmentation parameters ensure optimum results of object-based image analysis (OBIA). Manually defining suitable parameter sets can be a time-consuming approach, not necessarily leading to optimum results; the subjectivity of the manual approach is also obvious. For this reason, in...

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Bibliographic Details
Main Authors: Bruno Schultz, Markus Immitzer, Antonio Roberto Formaggio, Ieda Del’ Arco Sanches, Alfredo José Barreto Luiz, Clement Atzberger
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Remote Sensing
Subjects:
OBIA
crop mapping
Brazil
multi-resolution segmentation
OLI
random forest
Online Access:http://www.mdpi.com/2072-4292/7/11/14482

Internet

http://www.mdpi.com/2072-4292/7/11/14482

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