An approach to the combined extraction of linear as well as areal objects from multisensor image data based on a featureand object-level fusion is proposed. Data sources are high-resolution panchromatic digital orthoimages, multispectral image data, and interferometric SAR data. Rural test areas consisting of a road network, agricultural fields, and small villages were investigated. Road networ...

Multispectral imaging is a powerful tool that extends the capabilities of the human eye. However, multispectral imaging systems generally are expensive and bulky, and multiple exposures are needed. Here, we report the demonstration of a compact multispectral imaging system that uses vertical silicon nanowires to realize a filter array. Multiple filter functions covering visible to near-infrared...

In this paper we present a new approach in the compression of multispectral images. It is based on the merging of two main tendencies such as the use of KLT as a spectral decorrelator and object based image coding schemes. The use of the principal component in multispectral imagery is described and used to perform a multispectral segmenta-tion. This segmentation is taken as the basis for a spec...

Fully Constrained Least Squares (FCLS) has been widely used and proven to be a powerful tool for hyperspectral image classification. But for multispectral remote sensing images with only a few bands, the Least-Squares based approaches will all encounter the band number constraint (BNC), which requires the number of bands should be no less than the number of classes. In this paper, we proposed a...

Multispectral images consist of multiple channels, each containing data acquired from a different band within the frequency spectrum. Since most objects emit or reflect energy over a large spectral bandwidth, there usually exists a significant correlation between channels. Due to often harsh imaging environments, the acquired data may be degraded by both blur and noise. Simply applying a monoch...

An attempt has been made in this paper to classify multispectral images using customized particle swam optimization. To reduce the time consumption due to increase in dimensionality of multispectral imagery a preprocessing is done using feature extraction based on decision boundary. The customized particle swam optimization then works on the reduced multispectral imagery to find globally optima...

Digital orthoimages are becoming increasingly of interest as they provide up-to-date information for a wide range of applications. Facing the need for accurate spatial information this paper aims to the production of orthoimages and their further processing, as well as to the three dimensional visualization of the resulting images. The data used are one panchromatic image from Spot-3, with spat...