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基于GF-2的沙地区域影像融合方法与评价——以内蒙古自治区正蓝旗北部典型沙地为例
朝鲁门1, 宁小莉1, 包玉海2, 海全胜1, 张雪峰1
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
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。
关键词:  GF-2  沙地  融合  HSV (色彩、纯度、明度模型)
DOI:10.13961/j.cnki.stbctb.2019.04.022
分类号:TP75
基金项目:内蒙古自治区科技计划项目"浑善达克沙地沙漠化多源遥感监测及治理对策研究"(201605052);包头师范学院青年科技基金项目"基于葵花-8卫星的白天云相态识别研究"(BSYKJ2017-15)
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 Lumen1, Ning Xiaoli1, Bao Yuhai2, Hai Quansheng1, Zhang Xuefeng1
1.College of Resources and Environment, Baotou Normal College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014030, China;2.College of Geographical Science, Inner Mongolia Normal University, Hohhot, Inner Mongolia 010022, China
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.
Key words:  GF-2  sandy  fusion image  HSV(hue, saturation, value)