|
- 2018
基于贝叶斯融合的土壤含水量估计
|
Abstract:
提出了一种基于贝叶斯融合的土壤含水量估计方法。该方法首先利用散射计与辐射计协同试验数据分别测量后向散射系数和亮温,并利用主被动模型提取农作物下垫面土壤含水量;然后利用贝叶斯融合算法将主被动反演结果进行融合,在农作物完整生长期,融合后土壤含水量与真实值相比,平均平方误差(MSE)小于3.56、平均绝对差值(MAD)小于1.36、平均相对误差(MRE)小于13.92%,同时分级贝叶斯与经典贝叶斯同真实土壤含水量的决定系数为0.77和0.60,证明基于贝叶斯理论的融合算法能够在整个生长期土壤含水量估计优于单一传感器。
[1] | WAGNER W, LEMOINE G, ROTT H. A method for estimating soil moisture from ERS scatterometer and soil data[J]. Remote Sensing of Environment, 1999, 70(2):191-207. |
[2] | LU H, KOIKE T, FUJⅡ H. Development of a physically-based soil moisture retrieval algorithm for spaceborne passive microwave radiometers and its application to AMSR-E[J]. Journal of the Remote Sensing of Japan, 2009, 29(1):253-262. |
[3] | LONG D G, DRINKWATER M R. Azimuth variation in microwave scatterometer and radiometer data over Antarctica[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(4):1857-1870. |
[4] | NOTARNICOLA C, POSA F. Development of an algorithm for the Bayesian fusion of multi-angle, multi-polarisation and multi-frequency remotely sensed data[J]. Geoinformation for Europe, 2003, l(1):279-286. |
[5] | 谢暄, 高乐, 吕珏, 等. 测量不确定度估计的极限费舍尔信息方法[J]. 电子科技大学学报, 2016, 45(5):778-784. XIE Xuan, GAO Lei, Lü Jue, et al. Extreme Fisher information approach for measurement uncertainty evaluation[J]. Journal of University of Electronic Science and Technology of China, 2016, 45(5):778-784. |
[6] | GIRARD-ARDHUIN F, EZRATY R. Enhanced arctic sea ice drift estimation merging radiometer and scatterometer data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(7):2639-2648. |
[7] | JIA Ming-quan, TONG Ling, ZHANG Yuan-zhi, et al. Multi-temporal radar backscattering measurements and modelling of rice fields using a multi-frequency (L, S, C, and X) scatterometer[J]. International Journal of Remote Sensing, 2014, 35(4):1253-1271. |
[8] | 何磊, 童玲, 陈彦, 等. 小麦S波段多层后向散射模型[J]. 电子科技大学学报, 2016, 45(5):785-790. HE Lei, TONG Ling, CHEN Yan, et al. Multiple layers backscatter model of wheat for S band[J]. Journal of University of Electronic Science and Technology of China, 2014, 45(4):1253-1271. |
[9] | ZHENG Xing-ming, ZHAO Kai. A method for surface roughness parameter estimation in passive microwave remote sensing[J]. Chinese Geographyical Science, 2010, 20(4):345-352. |
[10] | HARRIS R, GRAHAM A J. Extracting biophysical parameters from remotely sensed radar data:a review of the water cloud model[J]. Progress in Physical Geography, 2003, 27(2):217-229. |
[11] | MO T, CHOUDHURY B J, SCHMUGGE T J. A model for microwave emission from vegetation-covered fields[J]. Journal of Geophysical Research:Oceans, 2010, 87(C13):11229-11237. |
[12] | ULABY F T, CIHLAR J, MOORE R K. Active microwave measurement of soil water content[J]. Remote Sensing of Environment, 1974, 3(3):185-203. |
[13] | SIXIAN Q, JIANWEN M. Construction and experiment of hierarchical Bayesian network in data assimilation[J]. Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(2):1036-1047. |