An Efficient Cascaded Model for Ship Segmentation in Aerial Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3159667
Abstract: In this work, we propose a new method for real-time ship segmentation during maritime surveillance missions using aircrafts with onboard video cameras. We propose a cascade model with a detection stage followed by a segmentation… read more here.
Keywords: ship segmentation; stage; segmentation; detection ... See more keywords
Ship Segmentation via Encoder-Decoder Network With Global Attention in High-Resolution SAR Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3100572
Abstract: Ship detection in the synthetic aperture radar (SAR) image is of great significance in the fields of military and coastal defense. Most ship detection methods are designed based on the object detection framework, which can… read more here.
Keywords: encoder decoder; segmentation; ship segmentation; global attention ... See more keywords
An Improved Intuitionistic Fuzzy C-Means for Ship Segmentation in Infrared Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.3037972
Abstract: Infrared ship segmentation is extensively applied in military fields. Due to noise and intensity inhomogeneity, the segmentation of infrared ship is a challenging task. The fuzzy c-means (FCM) clustering algorithm is widely used in image… read more here.
Keywords: segmentation infrared; fuzzy means; ship segmentation; segmentation ... See more keywords