We present a new cooccurrence matrix based approach for multispectral texture analysis. The spectral and spatial domains of the multispectral textures are processed separately. The color space used in this study is represented by subspaces and it is class$ed by the averaged learning subspace method (ALSM). In the spatial domain we use a generalized cooccurrence matrix for vector valued pixels. ...

Diffuse near-infrared tomography of tissue can provide intrinsically useful information about total hemoglobin, oxygen saturation, water and cytochromes within tissue, yet to extract this information spectral data is required at many wavelengths. In this study, we examine a new approach to using multispectral continuous wave measurements through tissue along with second-derivative data analysis...

This paper introduces a new orthogonal transfonn the multivariate change detection (MeD) transfonn based on an established multivariate statistical technique canonical correlation analysis. The theory for canonical correlation analysis is sketched and modified to be more directly applicable in our context. As opposed to traditional univariate change detection schemes our scheme transforms two s...

Hyperspectral image enhancement has been a concern for the remote sensing society for detailed end member detection. Hyperspectral remote sensor collects images in hundreds of narrow, continuous spectral channels, whereas multispectral remote sensor collects images in relatively broader wavelength bands. However, the spatial resolution of the hyperspectral sensor image is comparatively lower th...

Image data fusion is the process of setting together information gathered by different heterogeneous sensors, mounted on different platforms. This paper presents an effective multi-resolution image data fusion methodology, which is based on utilizing the Principal Component Analysis “PCA” and Histogram Specification “HS” techniques. The first principal component “PCA1” involves much of the vari...

We have developed a new and innovative technique for combining a high-spatial-resolution multispectral image with a lower-spatial-resolution hyperspectral image. The approach, called CRISP, compares the spectral information present in the multispectral image to the spectral content in the hyperspectral image and derives a set of equations to approximately transform the multispectral image into ...

Due to the high spatial resolution requirements for urban information systems, aerial photography has been used as standard imaging input. The advent of new satellites with a resolution of better than 1m (e.g., IKONOS, Quickbird) and digital airborne scanners with excellent geometric fidelity and high spatial resolutions in the cm range (e.g., HRSC, ADS, DMC), however, challenges the analog air...

Multispectral imaging has been evaluated for characterization of the concentration of a specific cartenoid pigment; astaxanthin. 59 fillets of rainbow trout, Oncorhynchus mykiss, were filleted and imaged using a rapid multispectral imaging device for quantitative analysis. The multispectral imaging device captures reflection properties in 19 distinct wavelength bands, prior to determination of ...