A highly efficient temporal-spatial probability synthesized model from multi-temporal remote sensing for paddy rice identification

A highly efficient temporal-spatial probability synthesized model from multi-temporal remote sensing for paddy rice identification

This article develops a temporal-spatial probability synthesized model (TSPSM), in which a metric describing the characteristic of temporal and spatial information is defined to map paddy rice distribution. The purpose is to reduce the effect of cloud contamination on classification. The error matri...

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Bibliographic Details
Main Authors:	Peijun Sun, Jinshui Zhang, Xiufang Zhu, Yaozhong Pan, Hongli Liu
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2017-01-01
Series:	European Journal of Remote Sensing
Subjects:	Paddy rice temporal-spatial probability landscape features Landsat 8 OLI
Online Access:	http://dx.doi.org/10.1080/22797254.2017.1279819

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