MULTITEMPORAL CROP TYPE CLASSIFICATION USING CONDITIONAL RANDOM FIELDS AND RAPIDEYE DATA

The task of crop type classification with multitemporal imagery is nowadays often done applying classifiers that are originally developed for single images like support vector machines (SVM). These approaches do not model temporal dependencies in an explicit way. Existing approaches that make use of...

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Bibliographic Details
Main Authors: T. Hoberg, S. Müller
Format: Article
Language:English
Published: Copernicus Publications 2012-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-W19/115/2011/isprsarchives-XXXVIII-4-W19-115-2011.pdf