The linear scale invariance of the multivariate alteration detection (MAD) transformation is used to obtain invariant pixels for automatic relative radiometric normalization of time series of multispectral data. Normalization by means of ordinary least squares regression method is compared with normalization using orthogonal regression. The procedure is applied to Landsat TM images over Nevada,...

Interpretation of remote sensing images into terrestrial attributes is very dependent of their spatial and spectral resolution. Normally, these types of resolution are contradictory: high spatial resolution sensors have a low spectral resolution whereas multispectral sensors have a low spatial resolution. Digital image-merging procedures are techniques that aim at integrating the multispectral ...

to use remote sensing data effectively, one must understand the spectral characteristics of the particular features under investigations. to study the relationship between soil salinity and soil reflectance, four multispectral scanners (mss) and seven thematic mappers (tm bands) over the ardakan playa located on the central iranian desert margins were selected. in this study soil map, soil ...

forest classification on the basis of satellite images is a promising technique both for primary map production and for map updating and forest monitoring. for accurate for-est classification into three classes, using mapping by canopy cover density “high spatial resolution satellite images have to be used in order to obtain the required spatial detail” [schneider, 1999]. at the same time, the ...

A methodology for image fusion based on the Hermite transform is presented. First, we demonstrate fusion with multispectral images from the same satellite (Landsat 7 ETM+) with different spatial resolutions. In this case we show how the proposed method can help improve spatial resolution. In the second case we show fusion with different sensor images, namely SAR and multispectral Landsat 5 TM. ...

Image misregistration has become one of the significant bottlenecks for improving the accuracy of multisource data analysis, such as data fusion and change detection. In this paper, the effects of misregistration on the accuracy of remotely sensed change detection were systematically investigated and quantitatively evaluated. This simulation research focused on two interconnected components. In...