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|Table of Contents|

基于ETM+遥感图像的图像融合试验及评价方法

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2010年01期
Page:
69-72
Column:
研究论文
publishdate:
2010-01-30

Article Info:/Info

Title:
Trial of image fusion methods and quality assessment for ETM+image
Author(s):
MENG Jinghui1 LU Yuanchang1* LIU Gang12 WANG Yixiang13
1.Institute of Forest Resource Information Techniques, CAF, Beijing 100091, China; 2.College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan, 430070, China; 2.School of Environmental Technology, Zhejiang Forestry College,Lin’
Keywords:
image fusion fusion methods quality assessment
Classification number :
S757
DOI:
10.3969/j.jssn.1000-2006.2010.01.015
Document Code:
A
Abstract:
In order to evaluate different fusion methods in merging pan band and multispectral band for ETM+ image, fusion methods such as color based technique, nominal technique and image transformation were used and tested. For the quality assessment of fusion methods, quantitative analysis was done using the following criteria: standard variation, information entropy, bias index, correlation coefficient. The result showed that there was an obvious improvement of the spatial resolution for all fusion methods. For the spectral fidelity, it was decreasing following such an order: Brovey, IHS, PC and GramSchmit. Brovey kept the maximum spectral information of the original image but the details of spatial information were the lowest. In contrast, IHS had the highest spatial information but the spectral fidelity was not encouraging. PC and GramSchmit were in the middle level concerned with the detail of spatial information and spectral fidelity. Brovey and IHS were the two best fusion methods for this study and the results made significant sense for work related with remote sensing in the study area.

References

[1]赵英时. 遥感应用分析原理与方法[M]. 北京:科学出版社,2003.
[2]Ranchin T, Aiazzi B, Alperone L, et al. Image fusion—the ARSIS concept and successful implementation schemes[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2003, 58(2): 391-399.
[3]李园园,宋于洋,李均力,等. 基于ETM+遥感图像的荒漠公益林融合方法研究[J]. 西北林学院学报,2008,23(4):145-148.
[4]沈明霞,何瑞银,丛静华,等. 植被信息提取过程中ETM+遥感图像融合和分类试验[J]. 农业机械学报,2007,38(8):109-112.
[5]杨昕,汤国安,邓东风,等. ERDAS遥感数字图像处理实验教程[M]. 北京:科学出版社,2009.
[6]谭永生,沈掌泉,贾春燕,等. QuickBird全色与多光谱图像融合方法比较研究[J]. 科学通报,2008,24(4):498-503.
[7]许领,杨馨蕊,陈剑. 地质灾害调查中ETM+与SPOT25 Pan融合方法比较[J]. 遥感技术与应用,2008,23(5):551-556.
[8]Wald L, Ranchin T, Mangolini M. Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images[J]. Photogrammetric Engineering and Remote Sensing, 1997, 63(6): 391-399.
[9]李春华,徐涵秋. 高分辨率遥感图像融合的光谱保真问题[J]. 地理信息科学,2008,10(4):520-526.
[10]张登荣,张霄宇,俞乐,等. 基于小波包移频算法的遥感图像融合技术[J]. 浙江大学学报:工学版,2007,41(7):1097-1100.
[11]Shi W Z, Zhu C Q, Tian Y, et al. Waveletbased image fusion and quality assessment[J]. International Journal of Applied Earth Observation and Geoinformation, 2005, 6(3): 241-251.
[12]史榕,许惠平,陈华根. 遥感影像图像融合技术及融合质量评价研究[J]. 鲁东大学学报:自然科学版,2008,24(2):130-134.
[13]张韬,吕洪娟,孙美霞,等. 遥感多光谱数据在内蒙古西部湿地监测中最佳波段选取的应用研究[J]. 干旱资源与环境,2007,21(4):102-106.
[14]李谢辉,郑奕. 基于最优波段组合的土地利用/覆盖遥感信息提取研究[J]. 安徽农业科学,2009,37(14):6696-6699.
[15]董慧君,刘艳芬. 基于PCA变换与IHS变换相结合的Landsat7遥感图像融合方法及其评价[J]. 信息技术与信息化,2007,4:109-110.
[16]王建,鲁安新,郭庭天,等. Brovey 图像融合在引大灌区土地覆盖调查中的应用[J]. 遥感应用技术与研究,2001,16(3):173-177.
[17]秦鹏,陈健飞. 基于Brovey融合与HSV锐化的ASTER图像绿地信息提取分析[J]. 地球信息科学学报,2009,11(3):400-404.
[18]武文波,康停军,姚静. 基于IHS 变换和主成分变换的遥感图像融合[J]. 辽宁工程技术大学学报:自然科学版,2009,28(1):28-31.
[19]张跃进,谢昕. 基于IHS 和小波变换的遥感图像融合方法研究[J]. 华东交通大学学报,2008,25(1):49-52.
[20]徐建达,王洪华. 基于IHS 变换和小波变换的遥感图像融合[J]. 测绘学院学报,2002,19(3):198-202.

Last Update: 2010-02-09