Ship Detection Based on Faster R-CNN in SAR Imagery by Anchor Box Optimization. - Durga Kumar; Xiaoling Zhang 002 (ICCAIS, 2019)

Deep Multi-Scale Recurrent Network for Synthetic Aperture Radar Images Despeckling. - Yuanyuan Zhou 007; Jun Shi 002; Xiaqing Yang; Chen Wang 041; Durga Kumar; Shunjun Wei; Xiaoling Zhang 002 (Remote. Sens., 2019)

Precise and Robust Ship Detection for High-Resolution SAR Imagery Based on HR-SDNet. - Shunjun Wei; Hao Su; Jing Ming; Chen Wang 041; Min Yan; Durga Kumar; Jun Shi 002; Xiaoling Zhang 002 (Remote. Sens., 2020)

LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images. - Tianwen Zhang; Xiaoling Zhang 002; Xiao Ke; Xu Zhan; Jun Shi 002; Shunjun Wei; Dece Pan; Jianwei Li; Hao Su; Yue Zhou 005; Durga Kumar (Remote. Sens., 2020)

Improving More Instance Segmentation and Better Object Detection in Remote Sensing Imagery Based on Cascade Mask R-CNN. - Durga Kumar; Xiaoling Zhang 002 (IGARSS, 2021)