mlsanityData to 14 Oct 2026

An Empirical Study of Methods for Small Object Detection from Satellite Imagery

arXiv 2502.03674 ↗First posted 5 Feb 2025cs.CV cs.AIcited by 0

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Abstract (arXiv)

This paper reviews object detection methods for finding small objects from remote sensing imagery and provides an empirical evaluation of four state-of-the-art methods to gain insights into method performance and technical challenges. In particular, we use car detection from urban satellite images and bee box detection from satellite images of agricultural lands as application scenarios. Drawing from the existing surveys and literature, we identify several top-performing methods for the empirical study. Public, high-resolution satellite image datasets are used in our experiments.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 21 of its 39 references that are in the map. First posted on arXiv 5 Feb 2025.

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21 of 39 references.

References · 21

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
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  3. 2020End-to-End Object Detection with Transformerscited by 7,414
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  9. 2019Optuna: A Next-generation Hyperparameter Optimization Frameworkcited by 2,501
  10. 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,162
  11. 2017Deformable Convolutional Networkscited by 1,488
  12. 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,276
9 more
  1. 2017DOTA: A Large-scale Dataset for Object Detection in Aerial Imagescited by 623
  2. 2023DETRs Beat YOLOs on Real-time Object Detectioncited by 533
  3. 2019Object Detection in 20 Years: A Surveycited by 531
  4. 2019CSPNet: A New Backbone that can Enhance Learning Capability of CNNcited by 381
  5. 2021Object Detection in Aerial Images: A Large-Scale Benchmark and Challengescited by 204
  6. 2018xView: Objects in Context in Overhead Imagerycited by 146
  7. 2022Towards Large-Scale Small Object Detection: Survey and Benchmarkscited by 122
  8. 2021A Survey of Self-Supervised and Few-Shot Object Detectioncited by 35
  9. 2022A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillancecited by 14

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