Image Fusion Methods and Evaluation in Sandy Area Based on GF-2 Satellite Data—A Case Study in North Zhenglan Banner of Inner Mongolia Autonomous Region

Chao Lumen; Ning Xiaoli; Bao Yuhai; Hai Quansheng; Zhang Xuefeng

doi:10.13961/j.cnki.stbctb.2019.04.022

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Image Fusion Methods and Evaluation in Sandy Area Based on GF-2 Satellite Data—A Case Study in North Zhenglan Banner of Inner Mongolia Autonomous Region

- Image Fusion Methods and Evaluation in Sandy Area Based on GF-2 Satellite Data—A Case Study in North Zhenglan Banner of Inner Mongolia Autonomous Region
- Bulletin of Soiland Water Conservation Vol. 39, Issue 4, Pages: 138-143(2019)
- 作者机构：
  
  1. 内蒙古科技大学包头师范学院资源与环境学院,内蒙古,包头,014030
  2. 内蒙古师范大学地理科学学院,内蒙古,呼和浩特,010022
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2019.04.022
  CLC： TP75
- Published：2019
- 稿件说明：
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Chao Lumen, Ning Xiaoli, Bao Yuhai, et al. Image Fusion Methods and Evaluation in Sandy Area Based on GF-2 Satellite Data—A Case Study in North Zhenglan Banner of Inner Mongolia Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2019, 39(4): 138-143.
DOI：

Chao Lumen, Ning Xiaoli, Bao Yuhai, et al. Image Fusion Methods and Evaluation in Sandy Area Based on GF-2 Satellite Data—A Case Study in North Zhenglan Banner of Inner Mongolia Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2019, 39(4): 138-143. DOI： 10.13961/j.cnki.stbctb.2019.04.022.

摘要

[目的]以内蒙古自治区正蓝旗北部典型沙地为例，以国产高分卫星（GF-2）影像为数据源，找出沙地区域的最佳影像融合方法，以期为沙地区域影像融合方法研究提供技术支撑。[方法]应用HSV （Hue，Saturation，Value）、Brovey，Gram-Schmidt，PC （principal components）融合等4种融合方法对GF-2影像的全色波段和多光谱波段进行融合；选取平均梯度、联合熵、相对偏差和标准差等4种统计方法，对影像融合进行效果评价及分析。[结果]4种融合方法均提高了比原多光谱影像的4倍空间信息辨别度，同时较好地保存了影像的原多光谱信息，并增强了图像信息的分辨能力。其中，Brovey融合方法的相对偏差最小，PC融合方法的融合效果最不明显，而HSV融合方法的联合熵和平均梯度最大，并且其对影像融合效果最佳。[结论]HSV融合是沙地区域影像融合的最佳方法。HSV融合能对沙地区域的目视解译等工作提供清晰的空间和光谱分辨率影像数据。

Abstract

[Objective] Taking the typical sandy land in the northern part of Zhenglan Banner of Inner Mongolia Region as an example

the best image fusion method in the sandy area by using the domestic high-resolution satellite(GF-2) image was studied in order to provide technical support for the study of the image fusion method in the sandy area.[Methods] 1 m Pan spectral image and 4 m multispectral image of GF-2 were fused by HSV(Hue

Saturation

Value)

Brovey

Gram-Schmidt and PC(principal components); And the four statistical methods

including average gradient

joint quantity

relative deviation and standard deviation were selected to evaluate and analyze the effect of fusion.[Results] The above four fusion methods could significantly improve the four fold spatial information discrimination of the multi-spectral image in the study area

preserve the original multi-spectral information of the image

and enhance the resolution ability of the image information. Among them

Brovey fusion method had the smallest relative deviation

PC had the least obvious fusion effect

while HSV fusion method had the largest joint quantity and average gradient

and it had the best image fusion effect.[Conclusion] HSV fusion was the best method of image fusion in sandy area. It could provide to clear spatial and spectral image data for visual interpretation of sandy areas.

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