Multiple features learning for ship classification in optical imagery
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4952-y
Abstract: The sea surface vessel/ship classification is a challenging problem with enormous implications to the world’s global supply chain and militaries. The problem is similar to other well-studied problems in object recognition such as face recognition.… read more here.
Keywords: ship classification; classification; classification optical; multiple features ... See more keywords
Few-Shot Scene Classification of Optical Remote Sensing Images Leveraging Calibrated Pretext Tasks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3184080
Abstract: Small data hold big artificial intelligence (AI) potential. As one of the promising small data AI approaches, few-shot learning has the goal to learn a model efficiently that can recognize novel classes with extremely limited… read more here.
Keywords: scene classification; pretext tasks; shot scene; remote sensing ... See more keywords
Classification of optical coherence tomography images using a capsule network
Sign Up to like & getrecommendations! Published in 2020 at "BMC Ophthalmology"
DOI: 10.1186/s12886-020-01382-4
Abstract: Background Classification of optical coherence tomography (OCT) images can be achieved with high accuracy using classical convolution neural networks (CNN), a commonly used deep learning network for computer-aided diagnosis. Classical CNN has often been criticized… read more here.
Keywords: classification; network; capsule network; dataset ... See more keywords