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Mountainous shadow information restoration based on the continuum removed

  • role： First author第一作者
  • Affiliation：

    School of Geographical Sciences, Southwest University, Chongqing 400715, China

  • Email：jianyirong614@gmail.com
  • Introduction：张甜(1989—　)，博士研究生，研究方向为生态遥感与国土规划。E-mail：jianyirong614@gmail.com
ZHANG Tian1,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Geographical Sciences, Southwest University, Chongqing 400715, China

  • Email：liaohp@swu.edu.cn
  • Introduction：廖和平(1964—　)，教授，研究方向为土地规划与管理。E-mail：liaohp@swu.edu.cn
LIAO Heping1*,  
  • Affiliation：

    College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China

CUI Linlin2

Resümee

Shadow of the remote sensing image is widespread in China southwest hilly area, which has affected the effects of automatic recognition of image computer and quantitative analysis. Topographic correction methods, which are widely used to adjust for differences in solar incidence angles, can partly alleviate the impacts of shadows. But the model based on DEM data has limitations and errors in application, resulting to the scattered and discontinuous images of the terrain correction. In order to overcome the shortcomings of the topographic correction models based on DEM and improve the quality of remote sensing image of southwest hills, the article introduced a new shadow correction methods based on the similar spectral information after continuum removed. The advantage of the method is that it no longer depend on DEM and semi-empirical estimation value, which can maximize the computer automatic identification and the independent access for parameters. Throughout these shadow correction methods, they are based on weak information in the shadow area, and the shadow correction is achieved by establishing a relationship between shadow and non-shadow. As to shadow pixel and non-shadow pixel with the same surface land cover types, their spectral curve is similar and only brightness (continuum information) is different. In order to establish relationship of spectral statistic feature between shadow pixel and non-shadow pixel, the spectral information is recovered by the similar pixel of shadow pixel and by the principle of using surface features spectrum envelope line to remove the continuum line. The article introduced a new shadow correction methods based on the similar spectral information after continuum removed, and experiment it on Landsat 8 OLI image by shadow extraction, continuum removing, searching for similar pixel, shadow information restoration. And the calibration accuracy was tested by visual evaluation, statistical analysis, comparative verification and automatic classification. By comparing the images of C-method correction and CR-method correction, the visual feature of the two images tend to be flat, and the image details of shadow area tend to be obvious. After CR-method shadow correction, the pixel brightness value of shadow area gets a more complete compensation, and the image brightness converges with the shadow area, and it makes the shadow area visual characteristics more consistent with the near shadow area. At the same time, the standard deviation of the image tend to drop after CR-method correction, making the pixel brightness value of the slopes closer. CR-method is better than C-method for terrain shadow elimination and slope and luminance values of homogenization, which relative root mean square error(rRMSE) of sample point in per land use cover type is within 2.919% compared with unshaded pixels, and the minimum is only 0.516%. the automatic classification accuracy of CR-method correction, calculating the number of right and wrong pixels, has increased from 43.59% to 61.57%. The experiment of CR-method shadow correction in complex hilly terrain region has achieved good effect, and has improved the quality of remote sensing image with mountain shadow.

Schlüsselwort

shadow correction;continuum removal;Information enhancement;Landsat 8 OLI image;China Southwest Hilly region

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