Practice and thoughts of the automatic processing of multispectral images with 30 m spatial resolution on the global scale

TANG Ping; ZHANG Hongwei; ZHAO Yongchao; NIU Zhenguo; ZHONG Bo; HU Changmiao; SHAN Xiaojun

doi:10.11834/jrs.20143287

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Practice and thoughts of the automatic processing of multispectral images with 30 m spatial resolution on the global scale
Vol. 18, Issue 2, Pages: 231-253(2014)
Published：2014
DOI： 10.11834/jrs.20143287
稿件说明：

移动端阅览

[1]唐娉,张宏伟,赵永超,牛振国,仲波,胡昌苗,单小军.全球30m分辨率多光谱影像数据自动化处理的实践与思考[J].遥感学报,2014,18(02):231-253. DOI： 10.11834/jrs.20143287.

TANG Ping, ZHANG Hongwei, ZHAO Yongchao, et al. Practice and thoughts of the automatic processing of multispectral images with 30 m spatial resolution on the global scale[J]. Journal of Remote Sensing, 2014, 18(2): 231-253. DOI： 10.11834/jrs.20143287.

摘要

全球地表覆盖遥感制图与关键技术研究项目要求对两个基准年度（2000年、2010年）全球30 m分辨率的多光谱遥感数据进行辐射处理和几何精纠正处理

为地表覆盖制图完成数据准备。数据以Landsat TM/ETM+为主

HJ-1A/B CCD数据为补充

共计2万多景影像需要进行辐射处理

有1000多景HJ-1A/B CCD影像需要几何精纠正。如此大规模的数据处理

自动化处理是必然的选择。本文介绍了HJ-1A/B CCD图像几何精纠正自动化实现中关键问题的解决方法和精度评价结果

Landsat TM/ETM+和HJ-1A/B CCD图像自动化辐射校正中关键问题的解决方法和精度评价结果

以及大规模的数据处理活动引发的一些思考。

Abstract

"Higher Resolution Global Land Cover Mapping"program requires global data from two base years（ 2000

2010） with30 m spatial resolution multispectral images for global land cover mapping. These data should undergo radiometric and geometric precision correction. The data mainly comprise Landsat TM / ETM + images supplemented by HJ-1A / B CCD. In total

more than20000 images require radiometric correction and more than 1000 HJ-1A / B CCD images require precise geometric correction. With such a large data set

automated processing is necessary. This paper presents a solution to key issues on the automatic geometric correction of HJ-1A / B CCD images and precision evaluation results. This paper also presents solutions to key issues on the automatic radiometric correction of Landsat TM / ETM + and HJ-1A / B CCD images and accuracy assessment results. Finally

this paper presents some suggestions for the processing of large data sets.