A hybrid OSVM-OCNN Method for Crop Classification from Fine Spatial Resolution Remotely Sensed Imagery

A hybrid OSVM-OCNN Method for Crop Classification from Fine Spatial Resolution Remotely Sensed Imagery

Accurate information on crop distribution is of great importance for a range of applications including crop yield estimation, greenhouse gas emission measurement and management policy formulation. Fine spatial resolution (FSR) remotely sensed imagery provides new opportunities for crop mapping at a...

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Bibliographic Details
Main Authors: Huapeng Li, Ce Zhang, Shuqing Zhang, Peter M. Atkinson
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Remote Sensing
Subjects:
crop mapping
object-based image classification
deep learning
decision fusion
fsr remotely sensed imagery
Online Access:https://www.mdpi.com/2072-4292/11/20/2370

Internet

https://www.mdpi.com/2072-4292/11/20/2370

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