Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Image classification is one of the most basic operations of digital image processing. The
present review focuses on the strengths and weaknesses of traditional pixel-based …

In this paper, a change detection approach based on an object-based classification of
remote sensing data is introduced. The approach classifies not single pixels but groups of …

While remote sensing has made enormous progress over recent years and a variety of
sensors now deliver medium and high resolution data on an operational basis, a vast …

The arrival of new-generation, high-spatial-resolution satellite imagery (eg, Ikonos) has
opened up new opportunities for detailed mapping and analysis of urban land use. Drawing …

Explore the Latest Techniques and Trends. in Remotely Sensed Digital Image Analysis!...
Written in easy-to-follow language with a minimum of technical jargon, Digital Analysis of …

Urban land cover information extraction is a hot topic within urban studies. Heterogeneous
spectra of high resolution imagery—caused by the inner complexity of urban areas—make it …

Remote Sensing image analysis is mostly done using only spectral information on a pixel by
pixel basis. Information captured in neighbouring cells, or information about patterns …

Four distinctly different classifiers were used to analyze multi-spectral data. Which of these
classifiers is most suitable for a specific study area is not always clear. This paper provides a …

A crop map of The Netherlands was created using a methodology that integrates multi-
temporal and multi-sensor satellite imagery, statistical data on crop area and parcel …