Unmixing-based multisensor multiresolution image fusion

被引:377
作者
Zhukov, B [1 ]
Oertel, D [1 ]
Lanzl, F [1 ]
Reinhäckel, G [1 ]
机构
[1] Russian Acad Sci, Inst Space Res, Moscow, Russia
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1999年 / 37卷 / 03期
关键词
image processing; image reconstruction; inverse problems; multisensor systems; remote sensing;
D O I
10.1109/36.763276
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Constrained and unconstrained algorithms of the multisensor multiresolution technique (MMT) are discussed. They can be applied to unmix low-resolution images using the information about their pixel composition from co-registered high-resolution images. This makes it possible to fuse the low- and high-resolution images for a synergetic interpretation. The constrained unmixing preserves all the available radiometric information of the low-resolution image. On the other hand, the unconstrained unmixing may be preferable in case of noisy data. An analysis of the MMT sensitivity to sensor errors showed that the strongest requirement is the accuracy of geometric co-registration of the data; the co-registration errors should not exceed 0.1-0.2 of the low-resolution pixel size. Applications of the constrained and unconstrained algorithms are illustrated on examples of unmixing and fusion of the multiresolution reflective and thermal bands of a real TM/LANDSAT image as well as of a simulated image of the future ASTER/EOS-AM1 sensor.
引用
收藏
页码:1212 / 1226
页数:15
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