A weakly supervised approach for estimating spatial density functions from high-resolution satellite imagery-Reference-Cited by-同舟云学术

A weakly supervised approach for estimating spatial density functions from high-resolution satellite imagery

Published:2018-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Author:

Jacobs Nathan¹,Kraft Adam²,Rafique Muhammad Usman¹,Sharma Ranti Dev²

Affiliation:

1. University of Kentucky

2. Orbital Insight, Inc.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3274895.3274934

Reference43 articles.

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3. Liang-Chieh Chen Alexander Hermans George Papandreou Florian Schroff Peng Wang and Hartwig Adam. 2018. MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features. In CVPR. Liang-Chieh Chen Alexander Hermans George Papandreou Florian Schroff Peng Wang and Hartwig Adam. 2018. MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features. In CVPR.

4. Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff and Hartwig Adam. 2018. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. In ECCV. Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff and Hartwig Adam. 2018. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. In ECCV.

5. Jerome E Dobson Edward A Bright Phillip R Coleman Richard C Durfee and Brian A Worley. 2000. LandScan: a global population database for estimating populations at risk. Photogrammetric engineering and remote sensing (2000). Jerome E Dobson Edward A Bright Phillip R Coleman Richard C Durfee and Brian A Worley. 2000. LandScan: a global population database for estimating populations at risk. Photogrammetric engineering and remote sensing (2000).

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