The measurement of ground control points is an important task for the absolute orientation of stereo models, for digital aerial triangulation or for the registration of satellite imagery. In the Digital Photogrammetric Systems existing today this task is usually completely performed by a human operator. There exist, however, methods, that can identify and/or localize control points or control s...

Virtual reconstruction of large landscapes from satellite imagery can be a time-consuming task due to the number of objects that must be extracted. Poor image resolution and noise hinder automatic detection processes and thus must be corrected by the user. This paper describes an application that allows the user to guide the automatic detection of trees from satellite imagery and spatial vegeta...

This study presents a new visualization tool for classification of satellite imagery. Visualization of feature space allows exploration of patterns in the image data and insight into the classification process and related uncertainty. Visual Data Mining provides added value to image classifications as the user can be involved in the classification process providing increased confidence in and u...

Due to unconstrained illumination conditions, noise, atmospheric pressure and temperature fluctuations; quality of image is affected. Extraction of roads from digital aerial/satellite imagery is not only scientifically challenging but also of major importance for data acquisition and update of geographic information system (GIS), databases or site models and thus can be a big help in car naviga...

Method for noise suppressing edge enhancement based on genetic algorithm taking into account complexity of target images measured with fractal dimension is proposed. Through experiments with satellite remote sensing imagery data with additive noise, it is found that the proposed method shows appropriate edge enhancing performance with suppressing the additive noise in accordance with complexity...

in this research, recognition of karstic water-bearing zones using the management of exploration data in kal-qorno valley, situated in the tepal area of shahrood, has been considered. for this purpose, the sequential exploration method was conducted using geological evidences and applying remote sensing and geoelectrical resistivity methods in two major phases including the regional and local s...

This paper presents a morphological neural network approach to extract vehicle targets from high resolution panchromatic satellite imagery. In the approach, the morphological shared-weight neural network (MSNN) is used to classify image pixels on roads into vehicle targets and non-vehicle targets, and a morphology based preprocessing algorithm is developed to identify candidate vehicle pixels. ...