Resolution Enhancement Method of Multispectral Satellite Images for Watershed Monitoring

Multi Resolution Fuzzy Segmentation of Satellite Images

Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

A New Structural Matching Method Based on Linear Features for High Resolution Satellite Images

  Along with commercial accessibility of high resolution satellite images in recent decades, the issue of extracting accurate 3D spatial information in many fields became the centre of attention and applications related to photogrammetry and remote sensing has increased. To extract such information, the images should be geo-referenced. The procedure of georeferencing is done in four main steps...

Extraction of Curvilinear Features in High-resolution Multispectral Satellite Images

Satellite imagery provides an effective aid to city planning. From a high-resolution spatial image, useful information such as road networks may be extracted readily. In this work we study a method to automate the extraction of curvilinear objects such as roads and canals from the very-high resolution multi-spectral IKONOS satellite imageries. Curvilinear feature extraction is composed of two s...

Automatic Road Extraction from Multispectral High Resolution Satellite Images

In this paper we propose an approach for automatic road extraction from high resolution multispectral imagery, such as IKONOS or Quickbird, in rural areas. While aerial imagery usually consists of 3 spectral bands, high resolution satellite data comprises 4 spectral bands with a better radiometric quality compared to film, but a worse geometric resolution. Therefore, strongly making use of the ...