Acquiring the information for rural settlement timely and accurately has an important significance for construction and development of rural areas. The development of remote sensing technology provides advanced means of the acquirement of the information of settlement. The study of extracting rural settlement information from Quickbird images in Xindu district, Chengdu City, P.R.of China was di...

Moving vehicle detection has become increasingly important in transportation management and road infrastructure development. State-of-the-art moving vehicle detection techniques require multi-frame images or at least a stereo pair of aerial photos for moving information extraction. This paper presents a new technique to detect moving vehicles using just one single set of QuickBird imagery, inst...

This paper deals with the use of satellite QuickBird images to find traces of past human activity in the ancient territory of Hierapolis (Turkey). This is one of the most important archaeological sites in Turkey, and in 1988 it was inscribed in the UNESCO World Heritage list. Although over the years the archaeological site of Hierapolis has been excavated, restored and well documented, up to no...

Accompanying the successful deployments of the IKONOS and QuickBird high-resolution satellite imagery (HRSI) systems have been a number of investigations into the utilisation of HRSI for the extraction of precise 3D metric information. Among the promising ‘alternative’ sensor orientation models investigated has been an approach based on affine projection. This model has previously been reported...

A strong earthquake with magnitude 6.5 struck the city of Bam in the southeast Iran on December 26, 2003. The earthquake brought massive destruction to the city and its surrounding rural areas. The earthquake caused the deaths of approximately more than 26,000 residents and injured about 30,000. QuickBird captured a clear image of Bam on January 3, 2004, eight days after the event. The city was...

1BAbstract This study implemented and applied a binary ensemble classifier for identification of grazed vegetation communities on Macquarie Island from very high resolution Quickbird imagery. Rabbit grazing has severely affected Macquarie’s unique sub-Antarctic vegetation communities. The aim of this study was to identify the grazed areas from Quickbird imagery to map their spatial extent. Seve...

QuickBird satellite imagery was evaluated for differentiating among rangeland cover types on the Welder Wildlife Refuge in south Texas. The satellite imagery had a spatial resolution of 2.8 m and contained 11-bit data. Four subsets of the satellite image were extracted and used as study sites. Field spectral measurements made among the dominant vegetation types showed significant differences in...

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 ...