Rice Phenology Estimation Using SAR Time-series Data

被引：0

作者：

Cota, Napat ^{[1
,2
]}

Kasetkasem, Teerasit ^{[3
]}

Rakwatin, Preesan ^{[4
]}

Chanwimaluang, Thitiporn ^{[5
]}

Kumazawa, Itsuo ^{[6
]}

机构：

[1] Thailand Adv Inst Sci, Bangkok, Thailand

[2] Kasetsart Univ, Bangkok, Thailand

[3] Kasetsart Univ, Fac Engn, Bangkok 10900, Thailand

[4] Geoinformat & Space Technol Dev Agcy GISTDA, Bangkok 10210, Thailand

[5] Natl Elect & Comp Technol Ctr, Image Technol Lab, Pathum Thani 12120, Thailand

[6] Imaging Sci & Engn Lab, Midori Ku, Yokohama, Kanagawa 2268503, Japan

来源：

2015 6TH INTERNATIONAL CONFERENCE OF INFORMATION AND COMMUNICATION TECHNOLOGY FOR EMBEDDED SYSTEMS (IC-ICTES) | 2015年

关键词：

SAR(Synthetic Aperture Radar); Hidden Markov Model; Viterbi Algorithm;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The actual field survey data from the Rice Department of Thailand's Ministry of Agriculture over a large area wastes a huge amount of resources. To solve this problem, this paper proposes a new approach to estimate rice phenology using SAR images derived from the RADARSAT-2 data. In this work, we divided the rice phenology into five stages, consisting of seedling, tillering, reproductive, ripening, and harvested stages and applied them to the hidden Markov model (HMM). Then, we estimated the backscattering coefficient time-series data to be used in the Viterbi algorithm. We were able to estimate the rice phenology, with 77.5 % accuracy when compared to the ground data.

引用

页数：5

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