A multi-resolution approach for discovery and 3-D modeling of archaeological sites using satellite imagery and a UAV-borne camera

@inproceedings{ding_huanyu_multi-resolution_2016,
  address = {Boston, MA, USA},
  title = {A multi-resolution approach for discovery and 3-{D} modeling of archaeological sites using satellite imagery and a {UAV}-borne camera},
  isbn = {978-1-4673-8682-1},
  url = {http://ieeexplore.ieee.org/document/7525107/},
  abstract = {This paper proposes a method for discovering new archaeological sites from existing satellite imagery, then building a 3-D computer model of those sites using a controlled UAV with an onboard camera. We use an unmanned vehicle and other remote surveillance sensors, coupled with onboard pattern recognition algorithms, to perform a coarse search, and subsequently a fine search to identify structures of interest. We assume the availability of two sensors. The first sensor is a low resolution camera that sweeps an area of interest, such as an imaging satellite. We process the low-resolution image data to identify tentative locations of interest and to provide confidence estimates with this identification. This information is provided to a control algorithm for an unmanned air vehicle, which plans a trajectory to inspect closely promising objects subject to fuel constraints. These close inspections provide sequences of images that are combined to give 3-D reconstructions of the area of interest, leading to accurate classification of the structure. In this paper, we describe the design of the three principal algorithms in this system: machine learning processing of coarse resolution data, the near-optimal path planning subject to fuel constraints, and the high-resolution 3-D modeling from multiple 2-D views of a site. We illustrate the performance of our system on sample LANDSAT satellite data, and using a quadrotor with an on-board camera in a laboratory environment.},
  language = {en},
  urldate = {2020-09-15},
  booktitle = {2016 {American} {Control} {Conference} ({ACC})},
  publisher = {IEEE},
  author = {{Ding, Huanyu} and Cristofalo, Eric and Wang, Joseph and Castanon, David and Montijano, Eduardo and Saligrama, Venkatesh and Schwager, Mac},
  month = jul,
  year = {2016},
  keywords = {scene\_reconstruction},
  pages = {1359--1365},
  month_numeric = {7}
}