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The study chooses the standard stripe and dual polarization SAR images of GF-3 as the basic data. Residential areas extraction processes and methods based upon GF-3 images texture segmentation are com...
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the classification of roads, vegetation, buildings and water from remot...
The paper proposes a segmentation procedure inspired to a robust LIDaR filtering data method recently introduced by the authors. The method is based on the application of a Simultaneous AutoRegressi...
a general strategies for solving the problem – for filtering can be identified. The first work directly on the measured points and geometric criteria are used for the decision, if a point is on the g...
This paper presents an approach to process raw lidar 3-D point clouds over urban area and extract terrain, buildings and other urban features. In the initial step, “non-ground points” are separated ...
The Thirty Meter Telescope (TMT) project, a partnership between ACURA, Caltech, and the University of California, is currently developing a 30-meter diameter optical telescope. The primary mirror wi...
The key step in object-based image interpretation is segmentation. Frequently the relationship between the segmentation parameter values and the corresponding segmentation outcome is not obvious, an...
In this paper we present a new efficient edge detection algorithm for the extraction of linear features in range image data. In the proposed algorithm the distinguished points, which will comprise t...
Recent years, laser scanner has raised the consideration in mapping of the Earth thanks to its fast acquisition and high accuracy. However, in order to utilize this kind of data, a tough task is req...

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