Dest-riping LANDSAT MSS images by Histogram Modification

Applying Supervised Clustering to Landsat MSS Images into GIS-Application

In this paper, the authors describe and implement an algorithm to perform a supervised classification into Landsat MSS satellite images. The Maximum Likelihood Classification method is used to generate raster digital thematic maps by means of a supervised clustering. The clustering method has been proved in Landsat MSS images of different regions of Mexico to detect several training data relate...

Relative Radiometric Normalization Performance for Change Detection from Multi-Date Satellite Images

Relative radiometric normalization (RRN minimizes radiometric differences among images caused by inconsistencies of acquisition conditions rather than changes in sudace reflectance. Five methods of RRN have been applied to 1973, 1983, and 1988 Landsat MSS images of the Atlanta area for evaluating their pedormance in relation to change detection. These methods include pseudoinvariant features (P...

Radiometric Normalization of Ikonos Image Using Quickbird Image for Urban Area Change Detection

Remotely sensed multitemporal, multisensor data are often required for change detection applications. A common problem associated with the use of these data is the grey value difference caused by non-surface factors such as different illumination, atmospheric, or sensor conditions. Such a difference makes it difficult to accurately detect changes using automatic methods. Effective image normali...

Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images

Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image. To overcome this problem and to have a better image contrast enhancement, a new two-step method was proposed. In the first step, the image histogram is...

A New Clustering Method for Landsat Images Using Local Maximums of a Multidimensional Histogram