In order to combine multimedia imagery and multispectral remote sensing data analyze information, preprocessing becomes a necessary part of it. It is found that the KNN algorithm one classic algorithms mining. As most important branches in field analysis, it widely used many fields such as classification, regression, missing value filling, machine learning. lazy algorithm, this method requires ...

Clinical MRI data is normally corrupted by random noise from the measurement process which reduces the accuracy and reliability of any automatic analysis. For this reason, de-noising methods are often applied to increase the SNR and improve image quality. Most of these methods work on single channel images by correcting each grey level using an implicit model of the surrounding region, but with...

Given the recent increase in availability of multispectral multibeam echosounder data, this work aims to identify suitable processing and classification methodologies for seabed based on such data. We propose a complete pipeline investigate adequacy state-of-the-art algorithms perform backscatter data alone, when additional sources are considered. Starting from raw acquisition we generate regio...

The image grand tour is a method for visualizing multispectral or multiple registered images. In many settings, several registered images of the same scene are collected. This most often happens when multispectral images are collected, but may happen in other settings as well. A multispectral image can be viewed as an image in which each pixel has a multivariate vector attached. The desired goa...