Using low-spectral-resolution images to acquire simulated hyperspectral images

摘要: We propose a method to acquire simulated hyperspectral images using low-spectral-resolution images. Hyperspectral provide more spectral information than images, because of the additional bands used for data acquisition in imaging. Unfortunately, original are expensive and difficult acquire. However, some research questions require an abundance ground monitoring, which can easily provide. Hence, we need when especially necessary. Since readily available cheaper, develop With 'hidden' from Our uses principles pixel-mixing understand compositional relationship spectrum image pixel, simulate radiation transmission processes. To this end, use previously obtained (i.e. library) sorting objects that derived image. Using simulation processes these different data, In addition, previous analyses remotely sensed do not quantitative statistical measures, but qualitative methods, describing by sight. Here, quantitatively assess our comparing correlation coefficients real Finally, Hyperion their corresponding ALI generate several classification The results demonstrate contain multispectral data. find quickly.