A ship recognition method of variational inference-based probability generative model using optical remote sensing image
Sign Up to like & getrecommendations! Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2017.07.039
Abstract: Abstract Aiming at the requirements of effectively recognizing ships using optical remote sensing data, a ship recognition method of probability generative model based on variational inference is proposed. Firstly, according to the principle of region… read more here.
Keywords: ship recognition; model; probability generative; generative model ... See more keywords
Evaluation and Improvement of Generalization Performance of SAR Ship Recognition Algorithms
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3216623
Abstract: As artificial intelligence continues to advance, deep learning has greatly contributed to the advancement of ship recognition using synthetic aperture radar (SAR) images. Deep learning-based SAR ship recognition performance is largely dependent on the sample… read more here.
Keywords: recognition; generalization performance; sar ship; ship recognition ... See more keywords
Two-Stage Cross-Modality Transfer Learning Method for Military-Civilian SAR Ship Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3162707
Abstract: Military-civilian attribute recognition of ships in synthetic aperture radar (SAR) imagery plays an important role in marine surveillance. However, high-quality labeled data are hard to obtain for SAR ships, which hinder the development of deep… read more here.
Keywords: sar; transfer; ship recognition; stage ... See more keywords
Fine-Grained Ship Recognition for Complex Background Based on Global to Local and Progressive Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3168800
Abstract: The existing deep learning fine-grained recognition models have low recognition accuracy (Acc) in complex natural environments. We propose a fine-grained ship recognition model [global to local progressive learning module (GLPM)] based on global to local… read more here.
Keywords: recognition; grained ship; ship recognition; fine grained ... See more keywords
High-efficiency and low-energy ship recognition strategy based on spiking neural network in SAR images
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.970832
Abstract: Ship recognition using synthetic aperture radar (SAR) images has important applications in the military and civilian fields. Aiming at the problems of the many model parameters and high-energy losses in the traditional deep learning methods… read more here.
Keywords: recognition; energy; ship recognition; strategy ... See more keywords