Language :
中文
赵丽玲
931
Home
Scientific Research
Research Field
Paper Publications
Patents
Published Books
Research Projects
Teaching Research
Teaching Resources
Teaching Information
Teaching Achievement
Awards and Honours
Enrollment Information
Student Information
My Album
Blog
MOBILE Version
Scientific Research
Current Position:
Home
>>
Scientific Research
Research Field:
No Content
Paper Publications:
More>>
A Physics-Enhanced Network for Predicting Sequential Satellite Images of Typhoon Clouds.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2025
Multi-Scale Feature Mixed Attention Network for Cloud and Snow Segmentation in Remote Sensing Images.Remote Sensing,2025
MFPANet: Multi-Scale Feature Perception and Aggregation Network for High-Resolution Snow Depth Estimation.Remote Sensing.2024
A Prior-Knowledge-Based Generative Adversarial Network for Unsupervised Satellite Cloud Image Restoration.Remote Sensing.2023
MSLp: Deep Superresolution for Meteorological Satellite Image.Complexity.2021
Image Super-Resolution Based on Non-local Convolutional Neural Network.Pattern Recognition and Computer Vision.2020
A real‑time typhoon eye detection method based on deep learning for meteorological information forensics.Journal of Real-Time Image Processing.2019
Patents:
More>>
一种基于多尺度特征感知神经网络的积雪深度预测方法(发明专利)
一种基于物理成像先验损失的卫星云图图像复原方法(发明专利)
基于形态学和逻辑运算的多普勒雷达图像逆风区检测方法(发明专利)
基于图像纹理信息构建损失函数的高分辨图像预测方法(发明专利)
一种面向汽车车位共享的智能锁系统
基于微笑度分析的服务窗口智能装置
汽车远近光灯智能切换装置
Published Books:
No Content
Research Projects:
数据与知识联合驱动的台风强度预报深度学习模型研究(主持),2022-2024, 中国气象局上海台风所
基于关键气象要素反演与降尺度的强对流天气智能预报(主要参与),2022-2025, 国家自然科学基金项目(联合基金)
面向卫星云图图像的字典学习超分辨方法研究(主持),2019-2021, National Natural Science Foundation of China (NSFC)
面向高光谱数据分类的深度学习方法研究(参与),2017-2019, National Natural Science Foundation of China (NSFC)
基于结构化低秩表示的运动目标分割研究(参与),2014-2016, National Natural Science Foundation of China (NSFC)
新型测图卫星图像增强关键问题研究(参与),2010-2011, Provincial municipal and autonomous regional science and technology projects
电影“院线通”验票系统——手机二维码识别子系统(主持),2009-2010, Enterprises and institutions shall entrust scientific and technological projects