Results 41 to 50 of about 180,114 (174)
Neural Substrates of Visual Percepts, Imagery, and Hallucinations [PDF]
, 2001 Air Force Office of Scientific Research (F49620-01-1-0397); Defense Advanced Research Projects Agency and the Office of Naval Research (N00014-95-1-0409); Office of Naval Research (N00014-95-1-0624)
Grossberg, Stephen
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Global communication part 1: the use of apparel CAD technology [PDF]
, 2011 Trends needed for improved communication systems, through the development of future computer-aided design technology (CAD) applications, is a theme that has received attention due to its perceived benefits in improving global supply chain efficiencies ...
Beazley A. +11 more
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Cross-View Image Matching for Geo-localization in Urban Environments
, 2017 In this paper, we address the problem of cross-view image geo-localization. Specifically, we aim to estimate the GPS location of a query street view image by finding the matching images in a reference database of geo-tagged bird's eye view images, or ...
Chen, Chen, Shah, Mubarak, Tian, Yicong
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A Unified Model for Near and Remote Sensing
, 2017 We propose a novel convolutional neural network architecture for estimating geospatial functions such as population density, land cover, or land use. In our approach, we combine overhead and ground-level images in an end-to-end trainable neural network ...
Crandall, David J. +3 more
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Automatic dense visual semantic mapping from street-level imagery
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012 This paper describes a method for producing a semantic map from multi-view street-level imagery. We define a semantic map as an overhead, or bird's eye view of a region with associated semantic object labels, such as car, road and pavement. We formulate the problem using two conditional random fields.
Sengupta, S +3 more
openaire +2 more sources
Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
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Measurement and Modeling of Ground-Level Ozone Concentration in Catania, Italy using Biophysical Remote Sensing and GIS [PDF]
, 2017 This experimental study examined spatial variation of ground level ozone (O3) in the city of Catania, Italy using thirty passive samplers deployed in a 500-m grid pattern. Significant spatial variation in ground level O3 concentrations (ranging from 12.8
Brusca, Sebastian +5 more
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SoftwareXStreet view imagery (SVI) is an increasingly important data source for urban analytics and environmental researchers studying the visual quality of the built environment.
Xiaohao Yang +2 more
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Street View Imagery Analysis in a Computational Notebook
REGIONStreet view imagery, capturing detailed streetscapes at human eye-level, has received significant attention in the past decade. Street view images can be leveraged to observe the built environment from both element- and scene-levels.
Yuhao Kang
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Cross-View Image Synthesis using Conditional GANs
, 2018 Learning to generate natural scenes has always been a challenging task in computer vision. It is even more painstaking when the generation is conditioned on images with drastically different views. This is mainly because understanding, corresponding, and
Borji, Ali, Regmi, Krishna
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