Crop Phenology Estimation Using a Multitemporal Model and a Kalman Filtering Strategy
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Title: | Crop Phenology Estimation Using a Multitemporal Model and a Kalman Filtering Strategy |
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Authors: | Vicente-Guijalba, Fernando | Martínez Marín, Tomás | Lopez-Sanchez, Juan M. |
Research Group/s: | Señales, Sistemas y Telecomunicación |
Center, Department or Service: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Instituto Universitario de Investigación Informática |
Keywords: | Agriculture | Kalman filter | Multitemporal | Phenology | Polarimetry | Rice | Synthetic aperture radar (SAR) |
Knowledge Area: | Teoría de la Señal y Comunicaciones |
Issue Date: | Jun-2014 |
Publisher: | IEEE |
Citation: | IEEE Geoscience and Remote Sensing Letters. 2014, 11(6): 1081-1085. doi:10.1109/LGRS.2013.2286214 |
Abstract: | In this letter, a new approach for crop phenology estimation with remote sensing is presented. The proposed methodology is aimed to exploit tools from a dynamical system context. From a temporal sequence of images, a geometrical model is derived, which allows us to translate this temporal domain into the estimation problem. The evolution model in state space is obtained through dimensional reduction by a principal component analysis, defining the state variables, of the observations. Then, estimation is achieved by combining the generated model with actual samples in an optimal way using a Kalman filter. As a proof of concept, an example with results obtained with this approach over rice fields by exploiting stacks of TerraSAR-X dual polarization images is shown. |
Sponsor: | This project was supported in part by the Spanish Ministry of Economy and Competitiveness (MINECO) and in part by EU FEDER under Project TEC2011-28201-C02-02. |
URI: | http://hdl.handle.net/10045/37746 |
ISSN: | 1545-598X (Print) | 1558-0571 (Online) |
DOI: | 10.1109/LGRS.2013.2286214 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © Copyright 2014 IEEE |
Peer Review: | si |
Publisher version: | http://dx.doi.org/10.1109/LGRS.2013.2286214 |
Appears in Collections: | INV - SST - Artículos de Revistas |
Files in This Item:
File | Description | Size | Format | |
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2014_Vicente-Guijalba_etal_IEEE-GRSL_final.pdf | Versión final (acceso restringido) | 583,27 kB | Adobe PDF | Open Request a copy |
2014_Vicente-Guijalba_etal_IEEE-GRSL.pdf | Versión revisada (acceso abierto) | 807,49 kB | Adobe PDF | Open Preview |
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