Comparative Analysis among Radar Image Filters for Flood Mapping

Radar Image Analysis Using Morphological Filters

The speckle noise is one severe obstacle for automatic mapping from radar images. For geological mapping, the connectivity of structures has to be restored. New filters for speckle reduction are presented here and compared to already known ones according to an index of connectivity.

Flood Hazard Mapping using Aster Image data with GIS

Flood is one of the most devastating natural hazards which lead to the loss of lives, properties and resources. It has therefore become important to create easily read, rapidly accessible flood hazard map, which will prioritize the mitigation effects. This study addresses the need for an efficient and cost-effective methodology for preparing flood hazard maps in Ghana, particularly those region...

Comparative Analysis of Filters and Wavelet Based Thresholding Methods for Image Denoising

Image Denoising is an important part of diverse image processing and computer vision problems. The important property of a good image denoising model is that it should completely remove noise as far as possible as well as preserve edges. One of the most powerful and perspective approaches in this area is image denoising using discrete wavelet transform (DWT). In this paper comparative analysis ...

Mapping the flood-prone areas for developing a flood risk management system in the northeast of Iran

Empirical Analysis of Aerial Camera Filters for Shoreline Mapping

Accurate, up-to-date national shoreline is critical in defining the territorial limits of the Unites States, updating nautical charts, and managing coastal resources. The National Oceanic and Atmospheric Administration (NOAA) delineates the interpreted shoreline photogrammetrically using tide-coordinated stereo photography acquired with black-and-white infrared emulsion. In this paper, we prese...