| 摘要: |
| 【目的】 通过几种遥感影像融合方法的比较，筛选适合于陕北黄土丘陵沟壑区遥感影像处理的融合方法。【方法】 利用ALOS全色波段与多光谱影像，通过主成分变换、乘法变换和Brovey变换等3种融合方法，对陕北黄土丘陵沟壑区遥感影像进行融合，并对融合后的影像进行效果评价。【结果】 所有融合处理图像的标准差和信息熵多大于原始影像，融合后图像的信息量大大增加，其中Brovey变换法在提高目视效果和识别精度方面优于其他2种融合方法。【结论】 3种变换融合方法中，Brovey变换更适合于陕北黄土丘陵沟壑区ALOS遥感影像的融合，同时也为提高该区遥感影像的解译精度奠定了基础。 |
| 关键词: 陕北黄土丘陵沟壑区 ALOS 遥感影像融合 主成分变换 乘法变换 Brovey变换 |
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| 基金项目:国家重点基础研究发展计划（973计划）项目（2007CB407203）；国家自然科学基金项目（30872073） |
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| Fusion method of the Loess Hilly Region of Northern Shaanxi Province based on ALOS image |
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| Abstract: |
| 【Objective】 The study was done to screen out the fusion method which is suitable for the Loess Hilly Region of Northern Shaanxi Province from contrasted the fusion methods.【Method】 Based on ALOS panchromatic and multispectral images,three fusion methods,PCA,Multiplicative and Brovey were used to estimate the effect of the fusion images of the loess hilly region of Northern Shaanxi Province.【Result】 Most of the standard deviation and entropy of the fusion images were higher than those of original images,the information quantity increased,the Brovey method had advantage over other fusion methods in the aspect of visual results and identifying precision.【Conclusion】 The Brovey transforms is more effective than the other algorithms and could significantly improve the classification accuracy of the research area. |
| Key words: the Loess Hilly Region of Northern Shaanxi Province ALOS fusion of remote sensing PCA transform Multiplicative transform Brovey transform |
