In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formulation, the proposed methodology incorporates prior knowledge on the expected characteristics of multispectral images, and uses the sensor characteristics to model the observation process of both panchromatic and multispectral ...

Image segmentation is a valuable approach that performs an object-based rather than a pixel-based analysis of high-spatial resolution satellite image. A multiscale approach for segmenting the pan-sharpened multispectral QuickBird-2 image based on vector field model is proposed. The edge features are obtained using the first fundamental form of the multispectral bands. The response of log Gabor ...

In this paper we study the application of bayesian network models to classify multispectral and hyperspectral remote sensing images. Different models of bayesian networks as: Naive Bayes, Tree Augmented Naive Bayes, Forest Augmented Naive Bayes and General Bayesian Networks, are applied in the classification of hyperspectral data. In addition, several bayesian multi-net models are applied in th...

For cervical cancer detection, the performance of multispectral texture (MST) features extracted from multispectral Pap smear images is evaluated. In this study we carried out pairwise comparisons between different image features, including MST versus average spectral texture features (AST, without spectral information), and MST versus multispectral intensity features (MSI, without texture info...

Multispectral image capture ( i.e , more than three channels) facilitates both more accurate tristimulus estimation and possibilities for spectral reconstruction of each scene pixel. A seven-channel camera was assembled using approximately 50 nm bandwidth interference filters, manufactured by Melles Griot, in conjunction with a Kodak Professional DCS 200m digital camera. Multichannel images wer...

This paper presents a novel feature point descriptor for the multispectral image case: Far-Infrared and Visible Spectrum images. It allows matching interest points on images of the same scene but acquired in different spectral bands. Initially, points of interest are detected on both images through a SIFT-like based scale space representation. Then, these points are characterized using an Edge ...

Multispectral image acquisition typically results in a huge amount of data and often involves a complicated mechanical setup in which a given number of interference filters is mounted on a filter wheel in front of a monochrome digital camera. Such constraints present serious problems for multispectral image capture over a wide area network. We solved these problems by using an electronically tu...

This thesis describes the study of Artificial Neural Network (ANN) based techniques for the classification of aerial images for various types of land-use. In this study both gray-scale and multispectral aerial images were used in land-use classification. Three approaches were used for the preparation of the data as inputs to the ANN, including histograms of the pixel intensities, textural param...