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This paper proposes a change detection approach, called FVA (feature vector analysis), for multi- resolution images, which is based on calculating the shape simi- larity
In this paper, a novel superpixel-based approach is proposed for unsupervised and automatic change detection. A super-pixel is a set of pixels which have similar spectrum and
The main aim of this paper is providing a method based on Radon transformation which is applicable in road extraction algorithms in order to automatic fill the existing gaps in the
Connected component analysis: The detection of complex events in pedestrian groups is based on the pedestrian interaction graph which was constructed in the first layer.. The
The proposed classification method adopts the random forests method to get initial probability maps of the four main classes in forest regions (high-forest, low-forest, ground,
Automatic detection and classification of damaged buildings, using high resolution satellite imagery and vector data. In: The International Archives of the Photogrammetry,
Feature matching is based on the appearance of the 2D image regions in the neighborhood of the considered features: since images are taken from different point of views the same
It shows the different stages to achieve the road detection in HRSI, which also comprises various kinds The International Archives of the Photogrammetry, Remote Sensing and