National lidar dataset

A national lidar dataset refers to a high-resolution lidar dataset comprising most—and ideally all—of a nation’s terrain. Datasets of this type… (More)
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Papers overview

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Highly Cited
2017
Highly Cited
2017
  • Bo Li
  • IEEE/RSJ International Conference on Intelligent…
  • 2017
2D fully convolutional network has been recently successfully applied to the object detection problem on images. In this paper… (More)
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Highly Cited
2016
Highly Cited
2016
A significant weakness of most current deep Convolutional Neural Networks is the need to train them using vast amounts of… (More)
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Highly Cited
2015
Highly Cited
2015
Depth estimation and semantic segmentation are two fundamental problems in image understanding. While the two tasks are strongly… (More)
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2015
2015
The implementation of emission reductions during the 2014 Asia-Pacific Economic Cooperation (APEC) summit provides a valuable… (More)
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Highly Cited
2014
Highly Cited
2014
In this paper we propose a slanted plane model for jointly recovering an image segmentation, a dense depth estimate as well as… (More)
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Highly Cited
2014
Highly Cited
2014
This project deals with online simultaneous localization and mapping (SLAM) problem without taking any assistance from Global… (More)
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Highly Cited
2009
Highly Cited
2008
Highly Cited
2008
Continuous lidar observations of the top height of the boundary layer (BL top) have been performed at Leipzig (51.3 N, 12.4 E… (More)
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Highly Cited
2007
Highly Cited
2007
Airborne lidar (Light Detection And Ranging) is a proven technology that can be used to accurately assess aboveground forest… (More)
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Highly Cited
2006
Highly Cited
2006
[1] A long Saharan dust event affected the western Mediterranean in the period 12– 28 June 2002. Dust was present mainly between… (More)
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