| 1. | A spectral preservation fusion technique for remote sensing images
保持光谱信息的遥感图像融合方法研究 |
| 2. | And we point out that using the latest techniques of computer graphics especially that of virtual reality ( vr ) will be the developing trend in this field
并介绍了多光谱信息融合技术的一些基本概念、研究内容和应用前景，并回顾了这一领域的国内外研究现况。 |
| 3. | We study on the image information and quantitative analysis focusing on the spectral dimension because the hyperspectral data has the abundant spectral information
高光谱分辨率遥感数据以其丰富的光谱信息使得其分析处理集中于光谱维上进行图像信息的展开和定量分析。 |
| 4. | 2 ) spectral information based cotton discrimination model using landsat tm image cotton and other crops " spectral information were collected during cotton growth season in a field work in northern xinjing
2 )基于光谱信息的棉花识别模型的研究为提高大尺度的遥感监测中棉花识别精度与图像的解译速度，探索研究了一种tm影像的棉花识别模型。 |
| 5. | However , for most remote sensing image fusion , the requirements of spectral preservation and spatial characteristics enhancement are usually incompatible . it is hard to satisfy these two requirements only by single fusion method
然而,大多数遥感图像融合存在光谱信息保留和空间细节增强的不一致性,只凭单一的融合方法,很难满足光谱信息保留和空间细节增强两方面的应用要求。 |
| 6. | The result of the estimation demonstrated that the fused images had higher spatial resolution while maintaining the basic spectral contents of the original tm images , and the visual effect and the accuracy of the classification bad been greatly enhanced
评价结果显示，融合后的图像既保留了多光谱图像的丰富光谱信息，又不同程度提高了空间分辨能力，很大程度上改善了目视解译效果和自动分类效果。 |
| 7. | It can not only enhances the spatial detail features of result image greatly , but also preserves more spectral characteristics from original multispectral images , and fulfills the unification of spatial details enhancement and spectral information preservation effectively
它既能较好地增强融合结果图像的空间细节特征,又能保持较多的原始多谱图像的光谱特性,实现了空间细节增强和光谱信息保留的有效统一。 |
| 8. | Afterwards , in order to decrease the contradiction between the more complex and mass remote sensing image data and relatively slow speed of information extraction , an improved sfim image fusion method is proposed . this modified algorithm is on the base of sfim fusion technique , combines ihs method and sfim method and then replaces the former mean filter by an adaptive weighted mean filter . compared with the results of several common fusion techniques through a set of simulation tests between multispectral images and panchromatic images , it is proved that the new method can get an excellent result for the aim of improving spatial resolution while preserving the spectral information of multispectral images
论文的主要工作和成果包括：在像素层，论文研究了多传感器数据融合理论及遥感图像预处理的过程和步骤，归纳了多源遥感图像像素层融合的常用算法，并针对目前遥感数据呈海量化、复杂化这一发展趋势同遥感信息提取的能力和效率滞后这一矛盾，在sfim算法的基础上，将ihs变换与sfim相结合，将原算法中的均值滤波器改进为自适应加权均值滤波器，提出了一种改进的sfim算法，通过对一组多光谱图像和全色图像的双传感器融合仿真对比试验，证明了该算法在保持原多光谱图像光谱信息的同时，能够有效提高融合图像的空间分辨能力。 |
| 9. | After analysis of tm / etm + data ' s advantage over the forest change detection , tasseled cap transformation , principal component analysis and normalized difference vegetation index were chosen to enhance the vegetation spectral information . expert classification system was adopted to extract the main tree species in the littoral shelter forest
在分析etm +数据在森林资源监测中的优势的基础上，通过缨帽变换、主成分分析和植被指数法增强植被光谱信息，结合专家分类系统对沿海防护林主要树种进行提取。 |
| 10. | Infrared ( ir ) image synthesis and multi - spectral information fusion are the key techniques in current high scientific and technological countermeasure environment and have been found wide application in many domains such as infrared guidance & countermeasure , anti - terrorism , remote sensor detection , traffic safety , etc . in this dissertation , the infrared image synthesis for ground targets and the realistic fusion of multi - spectral images are studied
红外成像仿真和多光谱信息融合是现代高科技的关键技术之一，在红外制导与对抗、反恐怖活动、遥感探测、交通安全等众多领域有着广泛的应用。本文主要研究地面目标的红外成像仿真和多光谱成像的真实感融合。 |
