Computer-Aided Analysis of LANDSAT-1 MSS Data: A Comparison of Three Approaches, Including a "Modified Clustering" Approach

Computer-Aided Analysis of Landsat-1 MSS Data: A Comparison of Three Approaches, Including a "Modified Clustering" Approach-1 MSS Data: A Comparison of Three Approaches, Including a "Modified Clustering" Approach

The Effect of Feature Scaling on the Clustering of Landsat MSS Data

Nonsupervised classification by clustering has been shown to be a very important tool in the analysis of satellite remote senSing data. However, clustering algorithms which use Euclidean distance as a measure of similarity are highly sensitive to scaling differences among the variables which participate in the clustering process. Since the Landsat MSS spectral bands have different ranges and di...

A Hybrid Data Clustering Algorithm Using Modified Krill Herd Algorithm and K-MEANS

Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorithm. K-means is simple and easy to implement, but it suffers from initialization of cluster center and hence trapped in local optimum. In this paper...

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...

Snowcover Mapping by Machine Processing of Skylab and Landsat Mss Data

SKYLAB and LANDSAT MSS data were analyzed using computer-aided analysis techniques (CAAT) developed at LARS. Results indicated that the middle infrared wavelength bands of the SKYLAB S-192 scanner would allow effective discrimination between snowcover and water-droplet clouds, whereas the limited spectral response of the LANDSAT-1 or 2 scanners do not allow such spectral discrimination. In the ...