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Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field Robots
March 22, 2024, 4:45 a.m. | Connor Lee, Saraswati Soedarmadji, Matthew Anderson, Anthony J. Clark, Soon-Jo Chung
cs.CV updates on arXiv.org arxiv.org
Abstract: We present a new method to automatically generate semantic segmentation annotations for thermal imagery captured from an aerial vehicle by utilizing satellite-derived data products alongside onboard global positioning and attitude estimates. This new capability overcomes the challenge of developing thermal semantic perception algorithms for field robots due to the lack of annotated thermal field datasets and the time and costs of manual annotation, enabling precise and rapid annotation of thermal data from field collection efforts …
aerial annotation arxiv cs.cv cs.ro robots satellite segmentation semantic semantics space type
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