ML Anthology

SatTel: A Framework for Commercial Satellite Imagery Exploitation

Andrew D. Gilliam, Thomas B. Pollard, Andrew Neff, Yi Dong, Scott Sorensen, Robert Wagner, Selene Chew, Todd V. Rovito, Joseph L. Mundy
WACV 2018 pp. 278-286
doi:10.1109/WACV.2018.00037 /wacv/2018/gilliam2018wacv-sattel/

Abstract

This paper presents the innovative SatTel framework, designed to automatically access, collate, process, and exploit commercial satellite imagery from a wide variety of vendors. Established vendors such as DigitalGlobe provide high resolution imagery with limited coverage, while disruptive vendors such as Planet and BlackSky provide low resolution imagery with near global coverage. SatTel provides a single point of entry for exploitation of these contrasting and complementary vendor capabilities. The authors illustrate the value of the SatTel framework via demonstrative change detection capabilities. SatTel change detection from small satellite imagery based on comparison of image to image appearance achieves mean average precision (MAP) above 0.75 for many sites compared to ground truth analyst annotation. SatTel change detection from high resolution satellite imagery based on multidimensional geometric structures achieves an average precision of 0.84 for elevation changes above 3.0 meters compared to ground truth analyst annotation.

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Cite

Text

Gilliam et al. "SatTel: A Framework for Commercial Satellite Imagery Exploitation." IEEE/CVF Winter Conference on Applications of Computer Vision, 2018. doi:10.1109/WACV.2018.00037

Markdown

[Gilliam et al. "SatTel: A Framework for Commercial Satellite Imagery Exploitation." IEEE/CVF Winter Conference on Applications of Computer Vision, 2018.](https://mlanthology.org/wacv/2018/gilliam2018wacv-sattel/) doi:10.1109/WACV.2018.00037

BibTeX

@inproceedings{gilliam2018wacv-sattel,
  title     = {{SatTel: A Framework for Commercial Satellite Imagery Exploitation}},
  author    = {Gilliam, Andrew D. and Pollard, Thomas B. and Neff, Andrew and Dong, Yi and Sorensen, Scott and Wagner, Robert and Chew, Selene and Rovito, Todd V. and Mundy, Joseph L.},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2018},
  pages     = {278-286},
  doi       = {10.1109/WACV.2018.00037},
  url       = {https://mlanthology.org/wacv/2018/gilliam2018wacv-sattel/}
}