Multi-Size Convolution and Learning Deep Network for SAR Ship Detection From Scratch
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3020363
Abstract: Synthetic aperture radar (SAR) ship detection is a popular branch of SAR interpretation. A growing number of scholars are devoting themselves to applying convolutional neural network (CNN) to SAR ship detection. Currently, most CNN-based SAR… read more here.
Keywords: multi size; ship detection; sar ship; detection ... See more keywords
Exploring Data and Models in SAR Ship Image Captioning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3202193
Abstract: In recent years, considerable progress has been made in ship detection in synthetic aperture radar (SAR) images; however, no research has been conducted on translating SAR ship images into flexible and accurate sentences. To explore… read more here.
Keywords: sar ship; ship images; ship image; image captioning ... 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
A Survey on Deep-Learning-Based Real-Time SAR Ship Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3244616
Abstract: Recently, deep learning has greatly promoted the development of synthetic aperture radar (SAR) ship detection. But the detectors are usually heavy and computation intensive, which hinder the usage on the edge. In order to solve… read more here.
Keywords: sar ship; detection; real time; ship detection ... See more keywords
Dual-Polarized SAR Ship Grained Classification Based on CNN With Hybrid Channel Feature Loss
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3067678
Abstract: This letter proposes a novel convolutional neural network (CNN) method for dual-polarized synthetic aperture radar (SAR) ship grained classification. The network employs hybrid channel feature loss that jointly utilizes the information contained in the polarized… read more here.
Keywords: dual polarized; loss; ship grained; sar ship ... See more keywords
One-Shot Learning-Based SAR Ship Classification Using New Hybrid Siamese Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3103432
Abstract: Synthetic aperture radar (SAR) ship classification research mainly focuses on large ships with distinctive features. Also, ship types are expanding nowadays. Traditional standard image classification techniques are not adequate for the effective classification of SAR… read more here.
Keywords: ship classification; sar ship; classification; shot learning ... See more keywords
Enriching SAR Ship Detection via Multistage Domain Alignment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3115498
Abstract: The advent of deep learning has made a significant advance in ship detection in synthetic aperture radar (SAR) images. However, it is still challenging since the amount of labeled SAR samples for training is not… read more here.
Keywords: sar ship; domain; detection; sar images ... See more keywords
MetaBoost: A Novel Heterogeneous DCNNs Ensemble Network With Two-Stage Filtration for SAR Ship Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3180793
Abstract: Current synthetic aperture radar (SAR) ship classification research mainly focuses on modifying deep convolutional neural networks (DCNNs) and injecting manual features on DCNNs. Yet, the weak robustness of individual models in high-risk scenarios makes it… read more here.
Keywords: sar ship; heterogeneous dcnns; two stage; ship classification ... See more keywords
Refocusing on SAR Ship Targets With Three-Dimensional Rotating Based on Complex-Valued Convolutional Gated Recurrent Unit
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3188257
Abstract: This letter proposes a complex-valued convolutional gated recurrent unit (CV-ConvGRU) network for the 3-D rotation refocusing task of a synthetic aperture radar (SAR) ship target. To take advantage of the amplitude and phase information of… read more here.
Keywords: sar ship; complex valued; gated recurrent; convolutional gated ... See more keywords
A Mask Attention Interaction and Scale Enhancement Network for SAR Ship Instance Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3189961
Abstract: Most of the existing synthetic aperture radar (SAR) ship instance segmentation models do not achieve mask interaction or offer limited interaction performance. Besides, their multiscale ship instance segmentation performance is moderate especially for small ships.… read more here.
Keywords: interaction; sar ship; instance segmentation; segmentation ... See more keywords
Shape-Robust SAR Ship Detection via Context-Preserving Augmentation and Deep Contrastive RoI Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3190855
Abstract: With recent advances in deep-learning techniques and the advantages of synthetic aperture radar (SAR) images, deep-learning-based SAR ship detection has attracted a lot of attention. In this letter, we aim to build an SAR ship… read more here.
Keywords: sar ship; roi; ship detection;