The focus of this study is to thoroughly exploit the capability of very high-resolution (VHR) satellite imagery such as IKONOS and QuickBird for disaster mitigation. An efficient automated methodology that detects damage is implemented to derive the rich information available from VHR satellite imagery. Consequently, the detected results and the VHR satellite imagery are attractively presented ...

Artificial intelligence technologies with spatial information technologies play more and more roles in precision agriculture and precision forestry. This paper puts up a new artificial intelligence algorithm which based on seeded based region growth method to extract tree crown on Quickbird forest stand image. It is a kind of object based canopy and gap information extracting method specially s...

For 473 km2 of farmland surrounding Kakamega Forest in western Kenya, QuickBird satellite imagery has been analyzed by an object-based image analysis approach. Preprocessing involved atmospheric/orographic correction as well as mosaicing and was followed by ground truthing and visual interpretation. Segmentation was optimized using a newly introduced ‘area fitness rate’ as a discrepancy method ...

In this paper, the Tasseled Cap Transformation (TCT) was applied to QuickBird multispectral images for extracting archaeological features linked to ancient human transformations of the landscape. The investigation was performed on Metaponto, one of the most important archaeological sites in the South of Italy. The analysis was focused on the identification of ancient land divisions likely relat...

A Bayesian network (BN) model was developed to predict susceptibility to PWD(Pine Wilt Disease). The distribution of PWD was identified using QuickBird and unmanned aerial vehicle (UAV) images taken at different times. Seven factors that influence the distribution of PWD were extracted from the QuickBird images and were used as the independent variables. The results showed that the BN model pre...

This research selects two study areas with different urban developments, sizes, and spatial patterns to explore the suitable methods for mapping impervious surface distribution using Quickbird imagery. The selected methods include per-pixel based supervised classification, segmentation-based classification, and a hybrid method. A comparative analysis of the results indicates that per-pixel base...

The aim of this study is to validate the Spectral Angle Mapper (SAM) algorithm for geological mapping in Central Jebilet Morocco and compare the results between high and medium spatial resolution sensors, such as Quickbird and Landsat TM respectively. The geology of the study area is dominated by the Sahrlef schist, which is intruded by numerous bodies of acidic and basic magmatic rocks and len...

High resolution images provided by latest missions such as QuickBird, Ikonos or OrbView have opened a new and important age in the remote sensing field, mainly in those applications where is crucial to extract detailed information such as buildings, streets, vehicles, etc. The improvement in resolution makes also that something inherent to an image as shadows take on special significance. This ...