Crop Mapping Using Random Forest and Particle Swarm Optimization Based on Multi-Temporal Sentinel-2

Crop Mapping Using Random Forest and Particle Swarm Optimization Based on Multi-Temporal Sentinel-2

Timely and accurate information on crop mapping and monitoring is necessary for agricultural resources management. Accordingly, the applicability of the proposed classification-feature selection ensemble procedure with different feature sets for crop mapping is investigated. Here, we produced variou...

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Bibliographic Details
Main Authors: Elahe Akbari, Ali Darvishi Boloorani, Najmeh Neysani Samany, Saeid Hamzeh, Saeid Soufizadeh, Stefano Pignatti
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
crop mapping
feature selection
particle swarm optimization
random forest
multi-temporal Sentinel-2 image
Online Access:https://www.mdpi.com/2072-4292/12/9/1449

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