A fuzzy decision making system for building damage map creation using high resolution satellite imagery

Building Detection from High-resolution Satellite Imagery Using Adaptive Fuzzy-genetic Approach

We present a technique for extracting the buildings from high resolution satellite imagery using adaptive fuzzy-genetic approach. The technique was inspired from the genetic image exploitation system, GENIE PRO, conducted by Perkins et al., (2005) but brings an important novelty, which is an adaptive-fuzzy module that fine-tunes the genetic algorithm parameters aiming to improve the feature ext...

Object-Based Building Extraction from High Resolution Satellite Imagery

Automatic building extraction from high resolution satellite imagery is considered as an important field of research in remote sensing and machine vision. Many algorithms for extraction of buildings from satellite images have been presented so far. These algorithms mainly have considered radiometric, geometric, edge detection and shadow criteria approaches to perform the building extraction. In...

3d Building Extraction from Stereo Pair High Resolution Satellite Imagery

In this paper, we will present a highly automated method of extracting 3D building information. Our approach set out to locate the vertices of building roof. For a start, we will limit our development to high rise buildings with approximately flat rooftop. If the main corners and intermediate vertices can be found, the 3D building model can be constructed. Our study is applying stereo pair sate...

Tsunami Damage Detection Using Moderate-resolution Satellite Imagery

A moment-magnitude 9.0 earthquake struck the area off the western coast of northern Sumatra on 26 December 2004, which triggered massive tsunamis inundating the coastal areas in the countries along the Indian Ocean Rim. Various moderateto high-resolution satellite images were obtained before and after the tsunami attack and used for emergency management. High-resolution satellite (e.g. IKONOS) ...

A hybrid decision making system using DEA and fuzzy models for supplier selection in the presence of multiple decision makers