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一种自适应的方法修复MODIS坏像元波段反射率
高博,宫辉力,周珂,王强
0
(首都师范大学水资源安全北京实验室,北京 100048; 首都师范大学资源环境与旅游学院,北京 100048; 首都师范大学三维信息获取与应用教育部重点实验室,北京 100048;河南大学计算机与信息工程学院,开封 475004;安徽农业大学资源与环境学院,合肥 230036)
摘要:
遥感数据从时间尺度、空间尺度为人类生存的环境要素提取提供了有力的支持。遥感数据资源的重要性日益突出,数据积累周期越长其存在的潜在价值就越大,但是随着时间的推移,遥感数据也会随着传感器的衰退或损坏导致数据质量降低、无效数据等情况。针对该现象提出了一种自适应的多元拟合方法来修复光学遥感数据由于传感器损坏导致的无效观测;该方法通过考虑地物波谱反射特性实现坏像元修复,基于地物波谱在不同通道上的反射特性之间的关系,构建波谱自适应筛选因子来优化波段反射率修复模型,从而精确地修复坏像元的地表反射率。基于该方法,修复了Terra Moderate Resolution Imaging Spectroradiometer (MODIS) 5波段数据在北京地区的无效观测(传感器坏像元);验证表明该方法精度统计指标RMSE为0.011,相比其他方法最好的结果提升大约8%,R2达到0.82。整体上,该方法不但具有较好的精度,且具有更好的适用性。
关键词:  图像处理  像元修复  MODIS  自适应筛选因子
DOI:10.13610/j.cnki.1672-352x.20170208.001
基金项目:国家自然科学基金青年科学基金(41501380/D0106), 国家自然科学基金重点项目(41130744/D0107), 中国博士后科学基金(2016M591209)和北京市博士后工作经费资助项目共同资助。
An adaptive method for restoring terra MODIS band reflectance of bad pixels
GAO Bo,GONG Huili,ZHOU Ke,WANG Qiang
(Beijing Laboratory of Water Resource Security, Capital Normal University, Beijing 100048; College of Resources Environment and Tourism, Capital Normal University, Beijing 100048; Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048;School of Computer and Information Engineering, Henan University, Kaifeng 475004;School of Resources and Environment, Anhui Agricultural University, Hefei 230036)
Abstract:
Remote sensing data become more and more important as the application of spatial data mining is increasing in the field of human health and safety. In addition, the potential values of remote sensing data are increasing with the accumulation of the remote sensing data; however, the deteriorating quality of the remote sensing data will inevitably hinder the further application of remote sensing data in various fields. Considering the contradiction between the urgent requirements from various fields for remote sensing data and the deteriorating quality of the remote sensing data, Restoration of band reflectance observed by optical sensors is of great scientific and practical importance. In this work, a method was used to restore the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) band 5 land surface reflectance (MOD09GA) by constructing an adaptive model with optimal multi-band information, which considered the converting relation of land surface reflectance between the channels of MODIS and the broadband (e.g., Visible, Near-Infrared and Shortwave). The proposed method has a better physical infrastructure and applicability than other methods. A test conducted in western Beijing showed that the proposed method gave rise to a more precise RMSE of 0.011 (R2 = 0.82) than other methods (WCLF and Robust M-Estimator Multiregressions). The proposed method is able to address bad pixels under different conditions (e.g., a single bad channel or all bad channel), and it shows better applicability than other methods.
Key words:  image processing  pixel restoring  MODIS  adaptive filtering factor

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