Vessel detection and classification from spaceborne optical images: A literature survey

By Urska Kanjir, Harm Greidanus, Kristof Ostir. Remote Sensing of Environment, 2018

309 citations recorded by the source corpus.

Highlights • A review of 119 papers on ship detection and classification from optical satellite.• From 1978 to March 2017, showing an exponential growth in the number of papers.• Most published methods have very limited validation.• While big steps have been made, automatic algorithms are still far from perfect.• Increase in new observation and processing capabilities promises rapid advances.

Subfields: Aerospace Engineering, Archeology, Media Technology

View Paper: https://www.semanticscholar.org/paper/30a022633b8c8beeae57dcb5f003351068430dfa

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In Media Technology

1. Chao Wang
2. Yuanyuan Wang
3. Hong Zhang
4. Yin Dong
5. Sisi Wei

Citations in the corpus

• A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds (2019, methodology): “Currently, images from optical and reflected infrared, hyperspectral, thermal infrared, and radar are used [3].”