国土资源遥感
國土資源遙感
국토자원요감
REMOTE SENSING FOR LAND & RESOURCES
2014年
4期
71-77
,共7页
郭蕾%杨冀红%史良树%战鹰%赵冬玲%张超%孙家波%季佳佳
郭蕾%楊冀紅%史良樹%戰鷹%趙鼕玲%張超%孫傢波%季佳佳
곽뢰%양기홍%사량수%전응%조동령%장초%손가파%계가가
SPOT6%图像融合%评价
SPOT6%圖像融閤%評價
SPOT6%도상융합%평개
SPOT6%image fusion%evaluation
SPOT6是2012年法国新发射的遥感卫星,具有空间分辨率高、数据采集能力强等特点,但目前在国土资源监管中,尚未形成完善的SPOT6数据处理技术体系。针对SPOT6卫星图像的特点,借助ENVI,ERDAS和PCI等遥感图像处理软件平台,选取相位恢复(Gram-Schmidt)变换法,高通滤波(HPF)法,超分辨率贝叶斯(Pansharp)法和PanSharpening法等4种图像融合方法进行融合对比实验,并从3个方面对融合效果进行了评价:首先对融合结果进行图像质量的定性评价;其次,构建了平均值、标准差、信息熵、平均梯度和相关系数等5个评价指标,对融合效果进行定量评价;最后,借助地物分类精度评价方法,进行了融合后图像的应用效果评价。分析结果表明,对于不同的应用要求,应选择不同的图像融合方法,以期达到最好的应用效果,从而为SPOT6图像在国土资源监管中的应用提供技术支持。
SPOT6是2012年法國新髮射的遙感衛星,具有空間分辨率高、數據採集能力彊等特點,但目前在國土資源鑑管中,尚未形成完善的SPOT6數據處理技術體繫。針對SPOT6衛星圖像的特點,藉助ENVI,ERDAS和PCI等遙感圖像處理軟件平檯,選取相位恢複(Gram-Schmidt)變換法,高通濾波(HPF)法,超分辨率貝葉斯(Pansharp)法和PanSharpening法等4種圖像融閤方法進行融閤對比實驗,併從3箇方麵對融閤效果進行瞭評價:首先對融閤結果進行圖像質量的定性評價;其次,構建瞭平均值、標準差、信息熵、平均梯度和相關繫數等5箇評價指標,對融閤效果進行定量評價;最後,藉助地物分類精度評價方法,進行瞭融閤後圖像的應用效果評價。分析結果錶明,對于不同的應用要求,應選擇不同的圖像融閤方法,以期達到最好的應用效果,從而為SPOT6圖像在國土資源鑑管中的應用提供技術支持。
SPOT6시2012년법국신발사적요감위성,구유공간분변솔고、수거채집능력강등특점,단목전재국토자원감관중,상미형성완선적SPOT6수거처리기술체계。침대SPOT6위성도상적특점,차조ENVI,ERDAS화PCI등요감도상처리연건평태,선취상위회복(Gram-Schmidt)변환법,고통려파(HPF)법,초분변솔패협사(Pansharp)법화PanSharpening법등4충도상융합방법진행융합대비실험,병종3개방면대융합효과진행료평개:수선대융합결과진행도상질량적정성평개;기차,구건료평균치、표준차、신식적、평균제도화상관계수등5개평개지표,대융합효과진행정량평개;최후,차조지물분류정도평개방법,진행료융합후도상적응용효과평개。분석결과표명,대우불동적응용요구,응선택불동적도상융합방법,이기체도최호적응용효과,종이위SPOT6도상재국토자원감관중적응용제공기술지지。
SPOT6 is a new remote sensing satellite launched in 2012 , with the characteristics of high spatial resolution and strong acquisition capability. However, a complete data preprocessing technology for the regulation of land resources has not yet been formed. According to the characteristics of SPOT6 satellite images, four different image fusion methods of Gram - Schmidt, HPF, Pansharp and PanSharpening were selected to conduct the experiment of comparison by using the software platforms of ENVI, ERDAS and PCI. For evaluating the results'performances, the authors compared them in three aspects. The image quality of experiment results was evaluated qualitatively and also assessed quantitatively by establishing evaluation indexes including mean,standard deviation, information entropy, average gradient and correlation coefficient. The application result of fused images was evaluated based on the evaluation of the classification accuracy. The analytical results show that these algorithms would work in different ways and could be used in different applications. The results achieved by the authors can provide the technical support for application of SPOT6 image to the land resources management.