# SAMA-VTOL: A new unmanned aircraft system for remotely sensed data collection

arXiv: https://arxiv.org/abs/2011.11007 · HTML: https://mlsanity.com/paper/2011.11007/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Nov 2020.

## Built on by (most cited first, 3 of 3)

- [Multi-task learning from fixed-wing UAV images for 2D/3D city modeling](https://mlsanity.com/paper/2109.00918/) (2021)
- [Deep few-shot learning for bi-temporal building change detection](https://mlsanity.com/paper/2108.11262/) (2021)
- [SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning](https://mlsanity.com/paper/2208.04190/) (2022)

## Abstract (arXiv)

In recent years, unmanned aircraft systems (UASs) are frequently used in many different applications of photogrammetry such as building damage monitoring, archaeological mapping and vegetation monitoring. In this paper, a new state-of-the-art vertical take-off and landing fixed-wing UAS is proposed to robust photogrammetry missions, called SAMA-VTOL. In this study, the capability of SAMA-VTOL is investigated for generating orthophoto. The major stages are including designing, building and experimental scenario. First, a brief description of design and build is introduced. Next, an experiment was done to generate accurate orthophoto with minimum ground control points requirements. The processing step, which includes automatic aerial triangulation with camera calibration and model generation. In this regard, the Pix4Dmapper software was used to orientate the images, produce point clouds, creating digital surface model and generating orthophoto mosaic. Experimental results based on the test area covering 26.3 hectares indicate that our SAMA-VTOL performs well in the orthophoto mosaic task.