Paper: Performing Object Detection on Drone Orthomosaics with Meta's Segment Anything Model (SAM)

papers/nicholas_mccarty/mybib.bib

@@ -0,0 +1,200 @@
+@Manual{gdal,
+  title         = {{GDAL/OGR} Geospatial Data Abstraction software Library},
+  author        = {{GDAL/OGR contributors}},
+  organization  = {Open Source Geospatial Foundation},
+  year          = {2025},
+  url           = {https://gdal.org},
+  doi           = {10.5281/zenodo.5884351},
+}
+
+@misc{geopandas,
+  author       = {Kelsey Jordahl and
+                  Joris Van den Bossche and
+                  Martin Fleischmann and
+                  Jacob Wasserman and
+                  James McBride and
+                  Jeffrey Gerard and
+                  Jeff Tratner and
+                  Matthew Perry and
+                  Adrian Garcia Badaracco and
+                  Carson Farmer and
+                  Geir Arne Hjelle and
+                  Alan D. Snow and
+                  Micah Cochran and
+                  Sean Gillies and
+                  Lucas Culbertson and
+                  Matt Bartos and
+                  Nick Eubank and
+                  maxalbert and
+                  Aleksey Bilogur and
+                  Sergio Rey and
+                  Christopher Ren and
+                  Dani Arribas-Bel and
+                  Leah Wasser and
+                  Levi John Wolf and
+                  Martin Journois and
+                  Joshua Wilson and
+                  Adam Greenhall and
+                  Chris Holdgraf and
+                  Filipe and
+                  Fran\c{c}ois Leblanc},
+  title        = {geopandas/geopandas: v0.8.1},
+  month        = jul,
+  year         = 2020,
+  publisher    = {Zenodo},
+  version      = {v0.8.1},
+  doi          = {10.5281/zenodo.3946761},
+  url          = {https://doi.org/10.5281/zenodo.3946761}
+}
+
+@misc{kirillov23,
+  title         = {Segment Anything}, 
+  author        = {Alexander Kirillov and Eric Mintun and Nikhila Ravi and Hanzi Mao and Chloe Rolland and Laura Gustafson and Tete Xiao and Spencer Whitehead and Alexander C. Berg and Wan-Yen Lo and Piotr Dollár and Ross Girshick},
+  year          = {2023},
+  eprint        = {2304.02643},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.CV},
+  doi           = {https://doi.org/10.48550/arXiv.2304.02643},
+  url           = {https://arxiv.org/abs/2304.02643}, 
+}
+
+@article{matplotlib,
+  abstract     = {Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.},
+  author       = {Hunter, J. D.},
+  publisher    = {IEEE COMPUTER SOC},
+  year         = {2007},
+	doi          = {https://doi.org/10.1109/MCSE.2007.55},
+  journal      = {Computing in Science \& Engineering},
+  number       = {3},
+  pages        = {90--95},
+  title        = {Matplotlib: A 2D graphics environment},
+  volume       = {9},
+}
+
+@misc{mayladan23,
+  title         = {Zero-Shot Refinement of Buildings' Segmentation Models using SAM}, 
+  author        = {Ali Mayladan and Hasan Nasrallah and Hasan Moughnieh and Mustafa Shukor and Ali J. Ghandour},
+  year          = {2024},
+  eprint        = {2310.01845},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.CV},
+  doi           = {https://doi.org/10.48550/arXiv.2310.01845},
+  url           = {https://arxiv.org/abs/2310.01845},
+}
+
+@article{numpy,
+  author       = {Harris, Charles R. and Millman, K. Jarrod and van der Walt, Stéfan J. and Gommers, Ralf and Virtanen, Pauli and Cournapeau, David and Wieser, Eric and Taylor, Julian and Berg, Sebastian and Smith, Nathaniel J. and Kern, Robert and Picus, Matti and Hoyer, Stephan and van Kerkwijk, Marten H. and Brett, Matthew and Haldane, Allan and del Río, Jaime Fernández and Wiebe, Mark and Peterson, Pearu and Gérard-Marchant, Pierre and Sheppard, Kevin and Reddy, Tyler and Weckesser, Warren and Abbasi, Hameer and Gohlke, Christoph and Oliphant, Travis E.},
+  publisher    = {Springer Science and Business Media {LLC}},
+  doi          = {https://doi.org/10.1038/s41586-020-2649-2},
+  date         = {2020-09},
+  year         = {2020},
+  journal      = {Nature},
+  number       = {7825},
+  pages        = {357--362},
+  title        = {Array programming with {NumPy}},
+  volume       = {585},
+}
+
+@article{opencv,
+    author = {Bradski, G.},
+    citeulike-article-id = {2236121},
+    journal = {Dr. Dobb's Journal of Software Tools},
+    keywords = {bibtex-import},
+    posted-at = {2008-01-15 19:21:54},
+    priority = {4},
+    title = {{The OpenCV Library}},
+    year = {2000}
+}
+
+
+@misc{openpyxl,
+  author       = {Eric Gazoni and Charlie Clark},
+  title        = {OpenPyXL: A Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files},
+  year         = {2024},
+  howpublished = {Python Package},
+  url          = {https://openpyxl.readthedocs.io},
+  note         = {Version 3.1.4},
+}
+
+@misc{osco23,
+  title         = {The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot}, 
+  author        = {Lucas Prado Osco and Qiusheng Wu and Eduardo Lopes de Lemos and Wesley Nunes Gonçalves and Ana Paula Marques Ramos and Jonathan Li and José Marcato Junior},
+  year          = {2023},
+  eprint        = {2306.16623},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.CV},
+  doi           = {https://doi.org/10.48550/arXiv.2306.16623},
+  url           = {https://arxiv.org/abs/2306.16623},
+}
+
+@inproceedings{pandas2,
+  author    = {Wes McKinney},
+  title     = {{D}ata {S}tructures for {S}tatistical {C}omputing in {P}ython},
+  booktitle = {{P}roceedings of the 9th {P}ython in {S}cience {C}onference},
+  pages     = {56 - 61},
+  year      = {2010},
+  editor    = {{S}t\'efan van der {W}alt and {J}arrod {M}illman},
+	doi       = {https://doi.org/10.25080/Majora-92bf1922-00a},
+}
+
+@misc{pandas1,
+  author    = {{The Pandas Development Team}},
+  title     = {pandas-dev/pandas: Pandas},
+  month     = feb,
+  year      = {2020},
+  publisher = {Zenodo},
+  version   = {latest},
+  url       = {https://doi.org/10.5281/zenodo.3509134},
+}
+
+@misc{pillow,
+  title        = {Pillow (PIL Fork) Documentation},
+  author       = {Clark, Alex},
+  year         = {2015},
+  publisher    = {readthedocs},
+  url          = {https://buildmedia.readthedocs.org/media/pdf/pillow/latest/pillow.pdf}
+}
+
+@article{pytorch,
+  title     = {PyTorch: An Imperative Style, High‑Performance Deep Learning Library},
+  author    = {Adam Paszke and Sam Gross and Francisco Massa and Adam Lerer and James Bradbury and Gregory Chanan and Trevor Killeen and Zeming Lin and Natalia Gimelshein and Luca Antiga and Alban Desmaison and Andreas Köpf and Edward Yang and Zachary DeVito and Martin Raison and Alykhan Tejani and Sasank Chilamkurthy and Benoit Steiner and Lu Fang and Junjie Bai and Soumith Chintala},
+  journal   = {CoRR},
+  volume    = {abs/1912.01703},
+  year      = {2019},
+  url       = {https://arxiv.org/abs/1912.01703}
+}
+
+@Manual{qgis,
+  title        = {QGIS Geographic Information System},
+  author       = {{QGIS Development Team}},
+  organization = {QGIS Association},
+  year         = {2021},
+  url          = {https://www.qgis.org},
+}
+
+@software{rasterio,
+  author        = {Sean Gillies and others},
+  organization  = {Mapbox},
+  title         = {Rasterio: geospatial raster I/O for {Python} programmers},
+  year          = {2013--},
+  url           = "https://github.com/rasterio/rasterio"
+}
+
+@software{shapely,
+  author       = {Gillies, S. and van der Wel, C. and Van den Bossche, J. and Taves, M. W. and Arnott, J. and Ward, B. C. and others},
+  title        = {Shapely (Version 2.1.1)},
+  year         = {2025},
+  doi          = {10.5281/zenodo.5597138}
+}
+
+@article{wu23,
+  author    = {Wu, Qiusheng and Osco, Lucas P.},
+  title     = {samgeo: A Python package for segmenting geospatial data with the Segment Anything Model (SAM)},
+  journal   = {Journal of Open Source Software},
+  year      = {2023},
+  volume    = {8},
+  number    = {89},
+  pages     = {5663},
+  doi       = {https://doi.org/10.21105/joss.05663},
+  url       = {https://arxiv.org/abs/2306.16623}
+}

papers/nicholas_mccarty/myst.yml

@@ -0,0 +1,43 @@
+version: 1
+extends: ../papers.yml
+project:
+  # Update this to match `scipy-2025-<folder>` the folder should be `<firstname_surname>`
+  id: scipy-2025-nicholas_mccarty
+  # Ensure your title is the same as in your `main.md`
+  title: Performing Object Detection on Drone Orthomosaics with Meta's Segment Anything Model (SAM)
+  # subtitle:
+  description: This article presents a workflow that utilizes SAM's automatic mask generation skill to effectively perform the task of object detection zero-shot on a high-resolution drone orthomosaic. The generated output is 20% more spatially accurate than that produced using proprietary software, with 400% greater IoU.
+  # Authors should have affiliations, emails and ORCIDs if available
+  authors:
+    - name: Nicholas McCarty
+      email: [email protected]
+      orcid: 0009-0001-3727-9178
+      affiliation: Upskilled Consulting
+      roles:
+        - Conceptualization
+        - Methodology
+        - Investigation
+  keywords:
+    - object detection
+    - spatial localization
+    - drone orthomosaic
+  # Add the abbreviations that you use in your paper here
+  abbreviations:
+    MyST: Markedly Structured Text
+  # It is possible to explicitly ignore the `doi-exists` check for certain citation keys
+  error_rules:
+    - rule: doi-exists
+      severity: ignore
+      keys:
+        - rasterio
+        - opencv
+        - openpyxl
+        - pillow
+        - pytorch
+        - qgis
+  exports:
+    - id: pdf
+      format: typst
+      template: https://github.com/curvenote-templates/scipy.git
+      article: main.md
+      output: full_text.pdf