A robot-assisted pipeline to rapidly scan 1.7 million historical aerial photographs
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arXiv
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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909944764170240 |
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| author | Masson, Sheila Potts, Alan Williams, Allan Berggreen, Steve McLaren, Kevin Martin, Sam Noda, Eugenio Nordfors, Nicklas Ruecroft, Nic Druckenmiller, Hannah Hsiang, Solomon Madestam, Andreas Tompsett, Anna |
| author_facet | Masson, Sheila Potts, Alan Williams, Allan Berggreen, Steve McLaren, Kevin Martin, Sam Noda, Eugenio Nordfors, Nicklas Ruecroft, Nic Druckenmiller, Hannah Hsiang, Solomon Madestam, Andreas Tompsett, Anna |
| contents | During the 20th Century, aerial surveys captured hundreds of millions of high-resolution photographs of the earth's surface. These images, the precursors to modern satellite imagery, represent an extraordinary visual record of the environmental and social upheavals of the 20th Century. However, most of these images currently languish in physical archives where retrieval is difficult and costly. Digitization could revolutionize access, but manual scanning is slow and expensive. Automated scanning could make at-scale digitization feasible, unlocking this visual record of the 20th Century for the digital era. Here, we describe and validate a novel robot-assisted pipeline that increases worker productivity in scanning 30-fold, applied at scale to digitize an archive of 1.7 million historical aerial photographs from 65 countries. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_24063 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A robot-assisted pipeline to rapidly scan 1.7 million historical aerial photographs Masson, Sheila Potts, Alan Williams, Allan Berggreen, Steve McLaren, Kevin Martin, Sam Noda, Eugenio Nordfors, Nicklas Ruecroft, Nic Druckenmiller, Hannah Hsiang, Solomon Madestam, Andreas Tompsett, Anna Image and Video Processing Systems and Control General Economics Economics During the 20th Century, aerial surveys captured hundreds of millions of high-resolution photographs of the earth's surface. These images, the precursors to modern satellite imagery, represent an extraordinary visual record of the environmental and social upheavals of the 20th Century. However, most of these images currently languish in physical archives where retrieval is difficult and costly. Digitization could revolutionize access, but manual scanning is slow and expensive. Automated scanning could make at-scale digitization feasible, unlocking this visual record of the 20th Century for the digital era. Here, we describe and validate a novel robot-assisted pipeline that increases worker productivity in scanning 30-fold, applied at scale to digitize an archive of 1.7 million historical aerial photographs from 65 countries. |
| title | A robot-assisted pipeline to rapidly scan 1.7 million historical aerial photographs |
| topic | Image and Video Processing Systems and Control General Economics Economics |
| url | https://arxiv.org/abs/2503.24063 |