Research on the Effective Use of apriori Information in Image Interpretation

为了对卫星和航空图像进行准确的土地利用和土地覆盖分析，以及基于医学图像进行自动诊断和手术规划，我们的目标是利用所考虑的主题固有的先验知识建立图像解释框架。在高分辨率图像和高光谱图像的研究中，具有过多自由度的模型有时会误导我们得出不一致的结果。通过引入自由度充分受限的模型，可以获得足够的信息。结果表明：受损面积估计：将灾前拍摄的卫星图像作为先验信息处理，并利用基于“重合增强”原理的非线性MAP算法对灾后拍摄的图像进行比较，从而实现受损房屋的变化检测。该系统被应用于2003年12月26日巴姆地震的卫星图像，并利用…更多的是提取出来的。将处理结果提供给日本实地考察小组，并通过实地考察验证了检测结果的有效性。农作物含糖量的估计：农作物的风味取决于糖、氨基酸和蛋白质等含量的比例。在本研究中，我们试图从收获前作物的高光谱图像中估计这些量。在估计系统中，我们将神经网络和粒子群算法相结合，对高光谱图像的大量波长之间的数学运算进行了优化。人体皮肤提取指数的推导：对短波红外区域的高光谱图像进行分析，有效地利用先验信息来检测水中、灾后躺在碎石上或地面上的人体受难者。因此，提出了利用人体皮肤固有的光谱信息使皮肤变得有形的归一化人体指数(NHI)。周期性分布植被图像的独立分量分析：作为日本农业领域高光谱图像高空观测的基础研究，我们从实验和理论上考虑了利用先验知识有效地利用独立分量分析来解析超出物理分辨率限制的图像中的混合像素。较少

For the accurate land-use and land-cover analysis of satellite and aerial images, as well as for automatic diagnosis and surgical planning based on medical images, we are aiming at establishing image-interpretation frameworks using a priori knowledge inherent to the subject under consideration. In the study of high-resolution images as well as hyperspectral images, Models with excessive freedom sometimes mislead us to inconsistent results. Sufficient information can be obtained by introducing models with adequately limited degree of freedom, as shown in the following results :Damaged area estimation : The satellite image photographed before disaster was handled as a priori information, and the image photographed after the disaster was compared in nonlinear map algorithm based on the principle of "coincidence enhancement", and change detection of damaged houses was carried out. This system was applied to satellite images of the Bam earthquake of December 26, 2003, and the damaged area w … More as extracted. The processing result was provided to a Japanese field investigation group, and the validity of the detection result was verified via the field study.Sugar content estimation of crops : The flavor of crops is dependent on the fraction of contents such as sugar, amino acid and protein etc. In this study, we tried to estimate these quantities from the hyperspectral image of the crops before the harvest. In the estimation system, we optimized the mathematical operation among large number of wavelength of the hyperspectral images by combining the neural network with the PSO(particle swarm optimization) algorithm. In this estimation, the set of measured values obtained after the harvest was used as a tutorial data.The derivation of human skin extraction index : We analyzed hyperspectral image of short wavelength infrared region, to make use of a priori information effectively in detecting the human victims in the water or lying on the gravel or ground after the disaster. As a result, NHI(normalized human index) was proposed to make the skin tangible by utilizing the spectral information inherent to the human skin.Independent Component Analysis of Periodically Distributed Vegetation Images : As a basic study for the development of high-altitude observation of hyperspectral images of Japanese agricultural fields, we experimentally and theoretically consider the use of a priori knowledge in the effective use of independent component analysis for resolving mixture pixels found in images observed beyond the limitation of physical resolution. Less