다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
韓國軍事科學技術學會誌 = Journal of the KIMST, v.24 no.4, 2021년, pp.392 - 400
황인수 (국방과학연구소 국방첨단기술연구원)
AI-Helper
Unlike optical equipment, SAR(Synthetic Aperture Radar) has the advantage of obtaining images in all weather, and object detection in SAR images is an important issue. Generally, deep learning-based object detection was mainly performed in real-valued network using only amplitude of SAR image. Since...
G. R. Benitz, "Synthetic Aperture Radar(SAR) Tutorial," MTI Lincoln Laboratory, 2009.
W. Li, J. Chen, X. Shi, A. Liu, "An Optimization Beam-position Selection Method Based on Genetic Algorithm for Distributed Satellite-borne SAR System," Procedings of IEEE CIE International Conference on Radar, pp. 895-898, 2011.
T. Zhang, X. Zhang, J. Shi, S. Wei, J. Wang, J. Li, "Balanced Feature Pyramid Network for Ship Detection in Synthetic Aperture Radar Images," IEEE Radar Conference, pp. 1-5, 2020.
L. Liu, G. Chen, Z. Pan, B. Lei, Q. An, "Inshore Ship Detection in SAR Images Based on Deep Neural Networks," IEEE Geoscience and Remote Sensing Symposium, pp. 25-28, 2018.
M. Kang, X. Leng, Z. Lin, K. Li, "A Modified Faster R-CNN Based on CFAR Algorithm for SAR Ship Detection," International Workshop on Remote Sensing with Intelligent Processing, pp. 1-4, 2017.
Y. Li, Z. Ding, Y. Wang, J. Chen, "SAR Ship Detection Based on ResNet and Transfer Learning," IEEE International Geoscience and Remote Sensing Symposium, pp. 1188-1191, 2019.
J. Ding, B. Chen, H. Liu, M. Huang, "Convolutional Neural Network with Data Augmentation for SAR Target Recognition," IEEE Geoscience and Remote Sensing Letters, pp. 364-368, 2016.
T. Yang, J. Zhu, J. Liu, "SAR Image Target Detection and Recognition Based on Deep Network," SAR in Big Data Era, pp.1-4, 2019.
Y. Wang, Y. Zhang, H. Qu, Q. Tian, "Target Detection and Recognition Based on Convolutional Neural Network for SAR Image," International Congress on Image and Signal Processing, pp. 1-5, 2018.
S. Gu, L. Ding, "A Complex-valued VGG Network Based Deep Learning Algorithm for Image Recognition," Ninth International Conference of Intelligent Control and Information Processing, pp. 340-343, 2018.
J. Ding, N. Xue, Y. Long, G.S Xia, Q. Lu, "Learning ROI Transformer for Oriented Object Detection in Aerial Images," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2849-2858, 2019.
C. Trabelsi, O. Bilaniuk, Y. Zhang, "Deep Complex Networks," International Conference on Learning Representations, 2017.
Z. Sun, X. Xu, Z. Pan, "SAR ATR Using Complex-valued CNN" Asia-pacific Conference of Image Processing, Electronics and Computers, pp. 125-128, 2020.
H. Choi, J. Kim, J. Huh, A. Kim, J. Ha, K. Lee, "Phase-aware Speech Enhancement with Deep Complex U-net," International Conference on Learning Representations, 2019.
X. Glorot, Y. Bengio, "Understanding the Difficulty of Training Deep Feedforward Neural Networks," In Aistats, pp. 249-256, 2019.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.