科研情况 |
(1)国家自然科学基金青年科学基金项目，基于异源遥感数据融合的水旱交错区稻田灌溉时空演变特征研究（42201297），2022/01-2025/12,在研，参与 (2)国家自然科学基金面上项目. 基于土地利用转型的黄河流域生态系统服务权衡协同关系及其尺度效应（42271283），2022/01-2026/12,在研，参与 (3)河南省科技攻关项目. 融合自适应波段选择和区域相似性的高分辨率遥感影像分割（232102210093），2023/01-2024/12，结题，参与 (4)河南省高校科技创新团队，区域生态演变与调控（22IRTSTHN008），2022/01-2024/12，结题，参与 |
论文成果 |
(1)Yang, Z., Niu, H.*, Wang, X., et al. (2024). An unsupervised semantic segmentation method that combines the ImSE-Net model with SLICm super-pixel optimization[J]. International Journal of Digital Earth. 17(1), 2341970. (SCI, 中科院1区). (2)Yang, Z., Niu, H.*, Wang, X., et al. (2023). A segmentation method based on the deep fuzzy segmentation model in combined with SCANDLE clustering[J]. Pattern Recognition, 146, 110027. (SCI， 中科院1区). (3)Yang, Z., Niu, H.*, Huang, L., et al. (2022). Automatic segmentation algorithm for high-spatial-resolution remote sensing images based on self-learning super-pixel convolutional network[J]. International Journal of Digital earth, 15(1): 1101-1124. (SCI, 中科院1区). (4)Yang, Z., Niu, H.*, Huang, L., et al.. (2022) High-spatial-resolution remote sensing image segmentation using adaptive watershed-driven joint MDEDNet[J]. Geocarto International, 37 (25): 10713-10742. (SCI, 中科院4区). (5)Yang, Z., Niu, H.*, Huang, L., et al. (2021). Edge Detection segmentation method for high spatial resolution remote sensing image based on MSR-cut.[J]. Transactions of the Chinese Society for Agricultural Machinery, 52(08): 154-162. (EI). |
