Classifying a high resolution image of an urban area using super- object information[J]. Isprs Journal of Photogrammetry & Remote Sensing, 2013,83 (3):40-49.B. Johnson, Z. Xie, Classifying a high resolution image of an urban area using super-object information, ISPRS J. Photogram. Rem. ...
In this study, a multi-scale approach was used for classifying land cover in a high resolution image of an urban area. Pixels and image segments were assigned the spectral, texture, size, and shape information of their super-objects (i.e. the segments that they are located within) from co...
The rise of technology has ushered in a new means of sexual expression, commonly referred to as sexting, which involves the sending of sexual messages or i
Construction and Validation of an Urban Area Flow and Dispersion Model on Building Scales This paper presents a numerical model that simulates the wind fields, turbulence fields, and dispersion of gaseous substances in urban areas on building to... B Chen,S Liu,Y Miao,... - 《Journal of Me...
Remotely sensed imageries are an important source for generating and updating GIS databases for land use and land cover change detection in urban areas. The interpretation of these data is a complex task because of the high variability of the image material under investigation. The purpose of this...
3D slicer : an open source software platform for medical image informatics, image processing, and three-dimensional visualization. Built over two decades through support from the National Institutes of Health and a worldwide developer community, Slicer brings free, powerful cross-platform processing ...
Lidar data are used for the extraction of an urban digital surface model (DSM), further for the extraction of a digital building model (DBM) and a digital terrain model (DTM). Data structure and a data model for managing urban spatial objects, such as buildings and bridges, are developed....
One of the most important elements influencing the thermal environment of an urban area is the urban geometry (Lai et al., 2019). The SVF directly affects the radiant temperature in the canyon and indirectly affects the air temperature in the canyon. The SVF was first proposed by Oke (1981...
Finding an image’s exact GPS location is a challenging computer vision problem that has many real-world applications. In this paper, we address the problem of finding the GPS location of images with an accuracy which is comparable to hand-held GPS devic
The task of enhancing the perception of a scene by combining information captured from different image sensors is usually known as multisensor image fusion. This paper presents an area-based image fusion algorithm to merge SAR (Synthetic Aperture Radar) and optical images. The co-registration of ...