文章第一部分对多源遥感影像数据融合的必要性、应用及其意义进行了说明，并阐述了本文的研究路线；
The first section of this paper, it described the multi-source remote sensing image data fusion need, application and significance, then it elaborated the study route of the paper.
文章最后对多源遥感影像数据融合进行了总结，说明了一些客观存在的问题与不足，并对影像融合进行展望。
At the last of this paper, it summarized the multi-source remote sensing image data fusion, and illustrated a number of objective problems and shortcomings, and then prospects for image fusion.
遥感影像信息融合是有效利用遥感海量数据的关键技术。
For the full exploitation of increasingly sophisticated multisource data, a lot of image fusion algorithms have been developed.
遥感影像特征分析是影像融合和解译的基础，而对遥感数据源各个波段进行定量分析是图像融合的前提。
Statistical characteristic analysis of remote sensing image is fundamental to image fusion and interpretation, and the quantitative analysis of each band is the premise of image fusion.
最后通过利用ERSSAR数据和TM影像进行融合分析，证明该方法在遥感图像自动分类中有很好的应用前景。
At the end, it is demonstrated that evidential reasoning has extensive applications in the classification of remote sensing images through the fusion analysis of ERS SAR and TM image.
然后，利用图像化的地层、重力、化探、线环构造和遥感影像数据进行RGB合成，通过HIS变换进行多源地学数据融合。
These image data and remote sensing image can be integrated in RGB form and then be transformed into HIS to merge the geological data.
本文主要对试验区遥感影像进行了辐射校正、大气校正、几何校正和数据融合等处理。
In this paper, the main work of author are below as follows: radiation correction, atmospheric correction, geometric correction and data processing integration.
本文主要对试验区遥感影像进行了辐射校正、大气校正、几何校正和数据融合等处理。
In this paper, the main work of author are below as follows: radiation correction, atmospheric correction, geometric correction and data processing integration.
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