Classification is a widely used technique for image processing and is used to extract
thematic data for preparing maps in remote sensing applications. A number of factors affect …

Accurate estimation of the spatial distribution of precipitation is crucial for hydrologic
modeling. To achieve the realistic estimation of precipitation, develo** a ground-based …

Since, the advent of remote sensing technology it has become an attractive option to capture
the information about land cover classes at a global scale in less time in form of digital …

Crop growth information represented through temporal remote sensing data is of great
importance for specific agriculture crop discrimination. In this paper, the effect of various …

A shoreline is defined as the line of contact between land and water surface. Shoreline
extraction/map** is critical in many coastal zone applications such as safe navigation and …

Fuzzy classification of remote sensing image allows the characterization and classification of
land covers with improved robustness and accuracy. Coarser resolution images contain …

Remote sensing data have been used for recognition and classification of land use and land
cover (LULC) features on Earth surface. The mixed pixel problem and non-linearity present …

Classification and interpretation of satellite images are complex processes and that may be
affected by various factors. Most fuzzy based soft classification techniques have been used …

In this paper, the fuzzy c-means (FCM) classifier has been studied with 12 similarity and
dissimilarity measures: Manhattan distance, chessboard distance, Bray–Curtis distance …

Noise clustering, is a vigorous clustering method, performs partitioning of data sets reducing
errors caused by outliers. This uses pure spectral information in image classification. A …