17,837 research outputs found
Use of multi-angle high-resolution imagery and 3D information for urban land-cover classification: a case study on Istanbul
The BELSPO-MAMUD project focuses on the use of Remote Sensing data for measuring and modelling urban dynamics. Remote sensing is a wonderful tool to produce long time-series of high resolution maps of sealed surface useful for this purpose. In the urban context of Istanbul, a very dynamic city, recent high resolution satellite images and medium resolution images from the past have been exploited to calibrate and validate a regression-based sub-pixel classification method allowing this production.
In this context it’s a tricky task for several reasons: prominent occurrence of shadowed and occluded areas and urban canyons, spectral confusions between urban and non-urban materials at ground and roof levels, moderately hilly relief ... To cope with these difficulties the combined use of three types of data may be helpful: diachronic (i), multi-angle and 3D data. A master multispectral and panchromatic QuickBird image and a panchromatic Ikonos stereopair, all acquired in March 2002, were used in combination with a multispectral and panchromatic Ikonos image of May 2005. A DSM was generated from the Ikonos stereopair and building vector file. It was used for orthorectification, building height estimation and classification procedure. The area covered by the high resolution products was divided in 3 partitions and each one was classified independently. This application demonstrates that recent high resolution land-cover classification produced using multi-date, multi-angle and DSM can be used to produce sealed surface maps from longer timeseries of medium resolution images over large urban areas enabling so the analysis of urban dynamics
Automatic extraction of urban structures based on shadow information from satellite imagery
The geometric visualisation of the buildings as the 3D
solid structures can provide a comprehensive vision in
terms of the assessment and simulation of solar
exposed surfaces, which includes rooftops and
facades. However, the main issue in the simulation
a genuine data source that presents the real
characteristics of buildings. This research aims to
extract the 3D model as the solid boxes of urban
structures automatically from Quickbird satellite
image with 0.6 m GSD for assessing the solar energy
potential. The results illustrate that the 3D model of
building presents spatial visualisation of solar
radiation for the entire building surface in a different
direction
Positional estimation techniques for an autonomous mobile robot
Techniques for positional estimation of a mobile robot navigation in an indoor environment are described. A comprehensive review of the various positional estimation techniques studied in the literature is first presented. The techniques are divided into four different types and each of them is discussed briefly. Two different kinds of environments are considered for positional estimation; mountainous natural terrain and an urban, man-made environment with polyhedral buildings. In both cases, the robot is assumed to be equipped with single visual camera that can be panned and tilted and also a 3-D description (world model) of the environment is given. Such a description could be obtained from a stereo pair of aerial images or from the architectural plans of the buildings. Techniques for positional estimation using the camera input and the world model are presented
A shadow–overlapping algorithm for estimating building heights from VHR satellite images
Building height is a key geometric attribute for generating 3D building models. We propose a novel four-stage approach for automated estimation of building heights from their shadows in very-high-resolution (VHR) multispectral images. First, a building’s actual shadow regions are detected by applying ratio-band algorithm to the VHR image. Second, 2D building footprint geometries are identified using graph theory and morphological fuzzy processing techniques. Third, artificial shadow regions are simulated using the identified building footprint and solar information in the image metadata at pre-defined height increments. Finally, the difference between the actual and simulated shadow regions at every height increment is computed using Jaccard similarity coefficient. The estimated building height corresponds to the height of the simulated shadow region that resulted in the maximum value for Jaccard index. The algorithm is tested on seven urban sites in Cardiff, UK with various levels of morphological complexity. Our method outperforms the past attempts, and mean error is reduced by at least 21%
JWST observations of stellar occultations by solar system bodies and rings
In this paper we investigate the opportunities provided by the James Webb
Space Telescope (JWST) for significant scientific advances in the study of
solar system bodies and rings using stellar occultations. The strengths and
weaknesses of the stellar occultation technique are evaluated in light of
JWST's unique capabilities. We identify several possible JWST occultation
events by minor bodies and rings, and evaluate their potential scientific
value. These predictions depend critically on accurate a priori knowledge of
the orbit of JWST near the Sun-Earth Lagrange-point 2 (L2). We also explore the
possibility of serendipitous stellar occultations by very small minor bodies as
a by-product of other JWST observing programs. Finally, to optimize the
potential scientific return of stellar occultation observations, we identify
several characteristics of JWST's orbit and instrumentation that should be
taken into account during JWST's development.Comment: This paper is one of a series for a special issue on Solar System
observations with JWST in PASP. Accepted 2-Oct-2015. Preprint 30 pages, 5
tables, 8 figure
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