Crop Phenology Estimation Using a Multitemporal Model and a Kalman Filtering Strategy

Vicente-Guijalba F.; Martinez-Marin T.; Lopez-Sanchez J.M.

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Crop Phenology Estimation Using a Multitemporal Model and a Kalman Filtering Strategy

机译：使用多时相模型和卡尔曼滤波策略的作物物候估计

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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.

机译：在这封信中，提出了一种利用遥感进行作物物候估计的新方法。所提出的方法旨在从动态系统环境中利用工具。从图像的时间序列中，导出几何模型，这使我们能够将这个时间域转化为估计问题。状态空间中的演化模型是通过对观测值进行主成分分析（定义状态变量）进行降维而获得的。然后，通过使用卡尔曼滤波器以最佳方式将生成的模型与实际样本进行组合来实现估算。作为概念验证，显示了一个示例，该示例通过利用TerraSAR-X双极化图像堆栈在稻田上使用此方法获得的结果。

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来源
《IEEE Geoscience and Remote Sensing Letters》 |2014年第6期|1081-1085|共5页
作者
Vicente-Guijalba F.; Martinez-Marin T.; Lopez-Sanchez J.M.;
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作者单位

Inst. for Comput. Res., Univ. of Alicante, Alicante, Spain|c|;

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正文语种 eng
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关键词
Agriculture; Kalman filter; multitemporal; phenology; polarimetry; rice; synthetic aperture radar (SAR);

机译：农业;卡尔曼滤波;多时相;物候学;旋光法;水稻;合成孔径雷达（SAR）;

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专利

1. Assimilating remote sensing information with crop model using Ensemble Kalman Filter for improving LAI monitoring and yield estimation [J] . Zhao Y., Chen S., Shen S. Ecological Modelling . 2013,第Null期

机译：使用Ensemble Kalman滤波器将遥感信息与农作物模型同化，以改善LAI监测和产量估算
2. Assimilation of Remote Sensing and Crop Model for LAI Estimation Based on Ensemble Kalman Filter [J] . LI Rui, LI Cun-jun, DONG Ying-ying, 农业科学学报（英文版） . 2011,第010期

机译：基于集合卡尔曼滤波的LAI估计遥感与作物模型同化
3. Water pollution estimation based on the 2D transport-diffusion model and the Singular Evolutive Interpolated Kalman filter Estimation de la pollution de l'eau basée sur un modèle 2D de transport-diffusion et sur le filtre de Kalman singulier évolutif interpolé [J] . Tran Thu Ha, Pham Dinh Tuan, Hoang Van Lai, Comptes rendus. Mecanique . 2014,第2期

机译：基于二维输运扩散模型和奇异演化插值卡尔曼滤波器的水污染估算基于二维输运扩散模型和插值进化奇异卡尔曼滤波器的水污染估算
4. Accurate crop cultivation date estimation from MODIS using NDVI phases and the Extended Kalman Filter [C] . Rata Suwantong, Panu Srestasathiern, Siam Lawawirojwong, International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology . 2016

机译：使用NDVI相位和扩展卡尔曼滤波器从MODIS准确估算作物栽培日期
5. Nonlinear estimation and modeling of noisy time series by dual Kalman filtering methods. [D] . Nelson, Alex Tremain. 2000

机译：用双重卡尔曼滤波方法对噪声时间序列进行非线性估计和建模。
6. A Steady-State Kalman Predictor-Based Filtering Strategy for Non-Overlapping Sub-Band Spectral Estimation [O] . Zenghui Li, Bin Xu, Jian Yang, 2015

机译：基于稳态卡尔曼预测变量的非重叠子带谱估计滤波策略
7. Crop Phenology Estimation Using a Multitemporal Model and a Kalman Filtering Strategy [O] . Vicente-Guijalba, Fernando, Martínez Marín, Tomás, Lopez-Sanchez, Juan M. 2014

机译：使用多时相模型和卡尔曼滤波策略的作物物候估计
8. Sampled-Data Kalman Filtering and Multiple Model Adaptive Estimation for Infinite-Dimensional Continuous-Time Systems [R] . Sallberg, S. A. 2007

机译：无限维连续时间系统的采样数据卡尔曼滤波和多模型自适应估计

Crop Phenology Estimation Using a Multitemporal Model and a Kalman Filtering Strategy

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