Volume 28 Issue 4
Aug.  2011
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CHEN Jian-zhen, HE Chao, YUE Cai-rong. Atmospheric correction of an advance land imager (ALI) image based on the FLAASH module[J]. Journal of Zhejiang A&F University, 2011, 28(4): 590-596. doi: 10.11833/j.issn.2095-0756.2011.04.011
Citation: CHEN Jian-zhen, HE Chao, YUE Cai-rong. Atmospheric correction of an advance land imager (ALI) image based on the FLAASH module[J]. Journal of Zhejiang A&F University, 2011, 28(4): 590-596. doi: 10.11833/j.issn.2095-0756.2011.04.011

Atmospheric correction of an advance land imager (ALI) image based on the FLAASH module

doi: 10.11833/j.issn.2095-0756.2011.04.011
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  • Corresponding author: YUE Cai-rong
  • Publish Date: 2011-08-20
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Atmospheric correction of an advance land imager (ALI) image based on the FLAASH module

doi: 10.11833/j.issn.2095-0756.2011.04.011
    Corresponding author: YUE Cai-rong

Abstract: The fast line-of-sight atmospheric analysis of spectral hypercubes (FLAASH) atmospheric correction module has often been used to correct the atmospheric influence of remote sensing images,however,in the Environment for Visualizing Images(ENVI),there is no pre-defined parameter for a new sensor in ENVI,which limits the range of application for a FLAASH module. To discuss atmospheric correction for an unknown multispectral sensor using the FLAASH module,an atmospheric correction process of images from the Advanced Land Imager (ALI) sensor was introduced. According to contrast and analysis uncorrected and corrected reflectance spectrum for water,vegetation and wasteland,the corrected reflectance spectrum was restored;according to qualitative and quantitative analysis of the whole image of corrected and uncorrected normalized differential vegetation index(NDVI),vegetation region was more brightness;non-vegetation region was darker;the peak value of histogram was improved from 0.454 to 0.754;the mean value was improved from 0.417 to 0.694;the standard deviation was improved from 0.139 7 to 0.141 0. Results showed that by using the FLAASH module,the atmospheric influence of ALI image was effectively weakened. The FLAASH module can be used to correct the atmospheric influence of new sensor,which is no pre-defined in the ENVI.[Ch,5 fig. 2 tab. 20 ref.]

CHEN Jian-zhen, HE Chao, YUE Cai-rong. Atmospheric correction of an advance land imager (ALI) image based on the FLAASH module[J]. Journal of Zhejiang A&F University, 2011, 28(4): 590-596. doi: 10.11833/j.issn.2095-0756.2011.04.011
Citation: CHEN Jian-zhen, HE Chao, YUE Cai-rong. Atmospheric correction of an advance land imager (ALI) image based on the FLAASH module[J]. Journal of Zhejiang A&F University, 2011, 28(4): 590-596. doi: 10.11833/j.issn.2095-0756.2011.04.011

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