ViT-DexiNet: a vision transformer-based edge detection operator for small object detection in SAR images

References

• Abdel-Gawad, A. H., L. A. Said, and A. G. Radwan. 2020. “Optimized edge detection technique for brain tumor detection in MR images.” Institute of Electrical and Electronics Engineers Access 8:136243–136259. https://doi.org/10.1109/ACCESS.2020.3009898.
   Web of Science ®Google Scholar
• Aghaei, N., G. Akbarizadeh, and A. Kosarian. 2022. “Osdes_net: Oil Spill Detection Based on Efficient_shuffle Network Using Synthetic Aperture Radar Imagery.” Geocarto International 37 (26): 13539–13560. https://doi.org/10.1080/10106049.2022.2082545.
   Web of Science ®Google Scholar
• Anas, E. 2016, February. “Edge detection techniques using fuzzy logic.” In 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), 169–173. Noida, India: IEEE.
   Google Scholar
• Barbat, M. M., T. Rackow, C. Wesche, H. H. Hellmer, and M. M. Mata. 2021. “Automated Iceberg Tracking with a Machine Learning Approach Applied to SAR Imagery: A Weddell Sea Case Study.” ISPRS Journal of Photogrammetry and Remote Sensing 172:189–206. https://doi.org/10.1016/j.isprsjprs.2020.12.006.
   Web of Science ®Google Scholar
• Bazi, Y., L. Bashmal, M. M. A. Rahhal, R. A. Dayil, and N. A. Ajlan. 2021. “Vision Transformers for Remote Sensing Image Classification.” Remote Sensing 13 (3): 516. https://doi.org/10.3390/rs13030516.
   Web of Science ®Google Scholar
• Chen, X., J. Ling, S. Wang, Y. Yang, L. Luo, and Y. Yan. 2021. “Ship Detection from Coastal Surveillance Videos via an Ensemble Canny-Gaussian-Morphology Framework.” The Journal of Navigation 74 (6): 1252–1266. https://doi.org/10.1017/S0373463321000540.
   Web of Science ®Google Scholar
• Chen, Z., C. Liu, V. F. Filaretov, and D. A. Yukhimets. 2023. “Multi-Scale Ship Detection Algorithm Based on YOLOv7 for Complex Scene SAR Images.” Remote Sensing 15 (8): 2071. https://doi.org/10.3390/rs15082071.
   Web of Science ®Google Scholar
• Fan, Y., X. Rui, G. Zhang, T. Yu, X. Xu, and S. Poslad. 2021. “Feature Merged Network for Oil Spill Detection Using Sar Images.” Remote Sensing 13 (16): 3174. https://doi.org/10.3390/rs13163174. nications 10(03): 10-28
   Web of Science ®Google Scholar
• Gemme, L., and S. G. Dellepiane. 2018. “An Automatic Data-Driven Method for SAR Image Segmentation in Sea Surface Analysis.” IEEE Transactions on Geoscience and Remote Sensing 56 (5): 2633–2646. https://doi.org/10.1109/TGRS.2017.2769710.
   Web of Science ®Google Scholar
• Heidler, K., L. Mou, C. Baumhoer, A. Dietz, and X. X. Zhu. 2021. “HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline.” IEEE Transactions on Geoscience and Remote Sensing 60:1–14. https://doi.org/10.1109/TGRS.2021.3064606.
   Web of Science ®Google Scholar
• Heiselberg, P., K. A. Sørensen, H. Heiselberg, and O. B. Andersen. 2022. “SAR Ship–Iceberg Discrimination in Arctic Conditions Using Deep Learning.” Remote Sensing 14 (9): 2236. https://doi.org/10.3390/rs14092236.
   Web of Science ®Google Scholar
• Hou, X., Y. Ma, and E. Zamanzade. 2023. “SAR Minimum Entropy Autofocusing Based on Prewitt Operator.” Plos One 18 (2): e0276051. https://doi.org/10.1371/journal.pone.0276051.
   PubMed Web of Science ®Google Scholar
• Idicula, S. M., and B. Paul. 2022. “A Novel Sarnede Method for Real-Time Ship Detection from Synthetic Aperture Radar Image.” Multimedia Tools and Applications 81 (12): 16921–16944. https://doi.org/10.1007/s11042-022-12243-1.
   Web of Science ®Google Scholar
• Isar, A., C. Nafornita, and G. Magu. 2021. “Hyperanalytic Wavelet-Based Robust Edge Detection.” Remote Sensing 13 (15): 2888. https://doi.org/10.3390/rs13152888.
   Web of Science ®Google Scholar
• Jagadesh, T. 2020. “Implementation of Prewitt Operator Based Edge Detection Algorithm Using FPGA.” International Journal for Research in Applied Science and Engineering Technology 8 (5): 1078–1082. https://doi.org/10.22214/ijraset.2020.5171.
   Google Scholar
• Jing, W., T. Jin, and D. Xiang. 2021. “Fast Superpixel-Based Clustering Algorithm for SAR Image Segmentation.” IEEE Geoscience and Remote Sensing Letters 19:1–5. https://doi.org/10.1109/LGRS.2021.3124071.
   Web of Science ®Google Scholar
• Krishnan, R., A. Thangavelu, P. Panneer, S. Devulapalli, A. Misra, and D. Putrevu. 2022. “Iceberg Detection and Tracking Using Two-Level Feature Extraction Methodology on Antarctica Ocean.” Acta Geophysica 70 (6): 2953–2963. https://doi.org/10.1007/s11600-022-00917-1.
   Web of Science ®Google Scholar
• Li, O. 2022. “SAR Edge Detection Using Weighted Directional Bhattacharyya Coefficients.” IEEE Geoscience and Remote Sensing Letters 20:1–5. https://doi.org/10.1109/LGRS.2022.3228239.
   Web of Science ®Google Scholar
• Liu, C., F. Tupin, and Y. Gousseau. 2020. “Training CNNs on Speckled Optical Dataset for Edge Detection in SAR Images.” ISPRS Journal of Photogrammetry and Remote Sensing 170:88–102. https://doi.org/10.1016/j.isprsjprs.2020.09.018.
   Web of Science ®Google Scholar
• Li, J., Y. Wang, Z. Wang, W. Yu, and Z. Yu. 2022. “Fully Size-Adaptive Sliding Window Method for SAR Image Edge Detection.” IEEE Geoscience & Remote Sensing Letters 19:1–5. https://doi.org/10.1109/LGRS.2022.3222508.
   Web of Science ®Google Scholar
• Li, J., W. Yu, Z. Wang, Y. Luo, and Z. Yu. 2022. “A Robust Statistic‐Aided Edge Detector for SAR Images Based on RUSTICO.” Electronics Letters 58 (10): 393–395. https://doi.org/10.1049/ell2.12473.
   Web of Science ®Google Scholar
• Mittal, M., A. Verma, I. Kaur, B. Kaur, M. Sharma, L. M. Goyal, S. Roy, and T. H. Kim. 2019. “An Efficient Edge Detection Approach to Provide Better Edge Connectivity for Image Analysis.” Institute of Electrical and Electronics Engineers Access 7:33240–33255. https://doi.org/10.1109/ACCESS.2019.2902579.
   Web of Science ®Google Scholar
• Modava, M., G. Akbarizadeh, and M. Soroosh. 2018. “Integration of Spectral Histogram and Level Set for Coastline Detection in SAR Images.” IEEE Transactions on Aerospace and Electronic Systems 55 (2): 810–819. https://doi.org/10.1109/TAES.2018.2865120.
   Web of Science ®Google Scholar
• Modava, M., G. Akbarizadeh, and M. Soroosh. 2019. “Hierarchical Coastline Detection in SAR Images Based on Spectral‐Textural Features and Global–Local Information.” IET Radar, Sonar & Navigation 13 (12): 2183–2195. https://doi.org/10.1049/iet-rsn.2019.0063.
   Web of Science ®Google Scholar
• Muntarina, K., R. Mostafiz, F. Khanom, S. B. Shorif, and M. S. Uddin. 2023. “MultiResedge: A Deep Learning-Based Edge Detection Approach.” Intelligent Systems with Applications 20:200274. https://doi.org/10.1016/j.iswa.2023.200274.
   Google Scholar
• Mynoddin, M., M. Kabir, N. Islam, R. Karim, H. Rehana, and S. Asaduzzaman. 2022. “De-Speckling of SAR Images with Fuzzy Filters Along with Altered Preserved Edge Values.” Journal of Computer and Communications 10 (3): 10–28. https://doi.org/10.4236/jcc.2022.103002.
   Google Scholar
• Poma, X. S., E. Riba, and A. Sappa. 2020. “Dense Extreme Inception Network: Towards a Robust Cnn Model for Edge Detection.” In Proceedings of the IEEE/CVF winter conference on applications of computer vision, 1923–1932.
   Google Scholar
• Pu, M., Y. Huang, Y. Liu, Q. Guan, and H. Ling. 2022. “Edter: Edge Detection with Transformer.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1402–1412.
   Google Scholar
• Raj, J. A., S. M. Idicula, and B. Paul. 2022. “Lightweight SAR Ship Detection and 16 Class Classification Using Novel Deep Learning Algorithm with a Hybrid Preprocessing Technique.” International Journal of Remote Sensing 43 (15–16): 5820–5847. https://doi.org/10.1080/01431161.2021.2008544.
   Web of Science ®Google Scholar
• Raj, J. A., S. M. Idicula, and B. Paul. 2023. “Improved Deep Learning Method for Real-Time Ship Detection and Localization from SAR Image.” Journal of the Indian Society of Remote Sensing 1–14. https://doi.org/10.1007/s12524-023-01689-x.
   Web of Science ®Google Scholar
• Soria, X., A. Sappa, P. Humanante, and A. Akbarinia. 2023. “Dense Extreme Inception Network for Edge Detection.” Pattern Recognition 139:109461. https://doi.org/10.1016/j.patcog.2023.109461.
   Web of Science ®Google Scholar
• Wang, L., Y. Xiang, H. You, X. Qiu, and K. Fu. 2023. “A Robust Multi-scale Edge Detection Method for Accurate SAR Image Registration.” IEEE Geoscience and Remote Sensing Letters.
   Google Scholar
• Yang, X., J. Zhang, C. Chen, and D. Yang. 2022. “An Efficient and Lightweight CNN Model with Soft Quantification for Ship Detection in SAR Images.” IEEE Transactions on Geoscience and Remote Sensing 60:1–13. https://doi.org/10.1109/TGRS.2022.3186155.
   Web of Science ®Google Scholar
• You, N., L. Han, D. Zhu, and W. Song. 2023. “Research on Image Denoising in Edge Detection Based on Wavelet Transform.” Applied Sciences 13 (3): 1837. https://doi.org/10.3390/app13031837.
   Google Scholar
• Yu, H., H. Jiang, Z. Liu, S. Zhou, and X. Yin. 2022. “EDTRS: A Superpixel Generation Method for SAR Images Segmentation Based on Edge Detection and Texture Region Selection.” Remote Sensing 14 (21): 5589. https://doi.org/10.3390/rs14215589.
   Web of Science ®Google Scholar
• Zhang, D., M. Gade, and J. Zhang. 2020, September. “SAR Eddy Detection Using Mask-RCNN and Edge Enhancement.” In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, 1604–1607. Waikoloa, HI, USA: IEEE.
   Google Scholar
• Zhang, M., B. Qiao, M. Xin, and B. Zhang. 2021. “Phase Spectrum Based Automatic Ship Detection in Synthetic Aperture Radar Images.” Journal of Ocean Engineering and Science 6 (2): 185–195. https://doi.org/10.1016/j.joes.2020.09.002.
   Web of Science ®Google Scholar
• Zhang, L., H. Wang, L. Wang, C. Pan, C. Huo, Q. Liu, and X. Wang. 2022. “Filtered Convolution for Synthetic Aperture Radar Images Ship Detection.” Remote Sensing 14 (20): 5257. https://doi.org/10.3390/rs14205257.
   Web of Science ®Google Scholar
• Zhang, S., Q. Xu, H. Wang, Y. Kang, and X. Li. 2022. “Automatic Waterline Extraction and Topographic Mapping of Tidal Flats from SAR Images Based on Deep Learning.” Geophysical Research Letters 49 (2): e2021GL096007. https://doi.org/10.1029/2021GL096007.
   Web of Science ®Google Scholar
• Zhao, C., X. Fu, J. Dong, R. Qin, J. Chang, and P. Lang. 2022. “SAR Ship Detection Based on End-To-End Morphological Feature Pyramid Network.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15:4599–4611. https://doi.org/10.1109/JSTARS.2022.3150910.
   Web of Science ®Google Scholar
• Zhuang, H., M. Hao, K. Deng, K. Zhang, X. Wang, and G. Yao. 2021. “Change Detection in SAR Images via Ratio-Based Gaussian Kernel and Nonlocal Theory.” IEEE Transactions on Geoscience & Remote Sensing 60:1–15. https://doi.org/10.1109/TGRS.2020.3040221.
   Web of Science ®Google Scholar