师资队伍

白婷

信息来源:计算机学院 发布日期:2025-02-27

白婷,女,2021年毕业于武汉大学,获工学博士学位,期间在纽约州立大学布法罗分校进行博士联合培养18个月,主要从事深度学习、变化检测、图像分析与处理、计算机视觉方法与应用研究。近年来在图像处理与视觉分析领域发表论文19篇,其中SCI论文15篇(第一作者5篇)、CSSCI论文1篇(第一作者1篇)、CSCD期刊论文3篇(第一作者1篇)、EI论文1篇(第一作者1篇),且以第一作者发表ESI全球高被引论文一篇。同时,还荣获4项专利授权,先后参与国家自然科学基金、国家重点研发计划、高分专项、中央财政自主研究课题及军队科研项目等10余项,先后担任《IEEE TGRS》《IEEEJSTARS》《European Journal of Remote Sensing》《International Journal of Remote Sensing》《Geo-Spatial Information Science》等期刊的审稿人。

联系方式:baiting@hbut.edu.cn(Email),1554939838(QQ)

GoogleScholar:https://scholar.google.com/citations?user=PViluckAAAAJ&hl=zh-CN

开设课程:机器学习、深度学习、Python 程序设计和OpenCV计算机视觉

座右铭:师之爱,爱而不宠;师之严,严而有格


1.近年主持/参加的科研项目:

(1)《自我空间感知的时序无人机影像城市三维变化检测研究》,青年科学基金项目,2019-2021。

(2)《武汉市产业交通空间与土地价值协同创新研究》,2021-2023,研究产业-交通-空间与土地价值协同仿真机制。

(3)《多特征融合与集成学习的城市高分辨率遥感影像变化检测》,国家自然科学基金面上项目,2015-2019。

(4)《无人机XX相机时序影像目标定位及变化发现方法研究》,中央财政自主研究课题,2018-2019。

(5)《基于深度学习的XX识别技术》,预研项目,2016-2019。

(6)《空天信息海洋应用典型目标检测适用性分析》,2018-2020。

(7)《区域协同遥感监测与应急服务技术体系》,国家重点研发项目,2016-2019。

(8)《卫星数据分类、变化检测及水体提取技术研发》,高分专项,2015-2018。

(9)《高分灾害监测与评估信息服务应用示范系统(一期&二期)》,国家高技术产业化项目,2014-2017。


2.主要学术成果

(1)Bai T, An Q,Deng S, et al. A Novel UNet 3+ Change Detection Method Considering Scale Uncertainty in High-Resolution Imagery. Remote Sensing,2024,16,1846. (First author,SCI期刊论文)

(2)Bai T,Wang L, Yin D, et al. Deep learning for change detection in remote sensing: a review[J]. Geo-spatial Information Science, 2023, 26(3): 262-288.(First author,SCI一区论文,ESI全球高被引论文,Excellent Paper Award)

(3)白婷等.基于人工智能和遥感技术的城市更新单元识别方法研究及应用[J].自然资源学报, 2023, 38(6): 1517-1531. (First author,高质量期刊论文、CSSCI、CSCD期刊论文)

(4)Bai T,Sun K, Li W, et al. A novel class-specific object-based method for urban change detection using high-resolution remote sensing imagery[J]. Photogrammetric Engineering & Remote Sensing, 2021, 87(4): 249-262; (First author,SCI期刊论文)

(5)Bai T,Sun K, Deng S, et al. Multi-scale hierarchical sampling change detection using Random Forest for high-resolution satellite imagery[J]. International journal of remote sensing, 2018, 39(21): 7523-7546.; (First author,SCI期刊论文)

(6)Bai T,Li D, Sun K, et al. Cloud detection for high-resolution satellite imagery using machine learning and multi-feature fusion[J]. Remote Sensing, 2016, 8(9): 715; (First author,SCI期刊论文)

(7)Bai T, Sun K, Deng S, et al. Comparison of four machine learning methods for object-oriented change detection in high-resolution satellite imagery[C]//Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series. 2018, 10611; (First author,EI会议论文)

(8)邓实权,田芷涵,白婷,等.基于多时相遥感的梁子湖水体浊度变化研究[J].长江科学院院报, 2024: 0.(Thirdauthor,CSCD期刊论文)

(9) Li, P., Zhang, Y., Chen, Y.,Bai, T., Sun, K., Sui, H., & Wu, Y. (2024). Fully Automatic Geometric Registration Framework of UAV Imagery Based on Online Map Services and POS. Drones, 8(12), 723.(Fourth author,SCI期刊论文)

(10) Li, P., Zhang, Y., Yang, W., Sun, K., Chen, Y.,Bai, T., & Wu, Y. (2024). A target geolocation method using laser trilateration under ECEF frame with atmospheric refraction correction. Journal of Spatial Science, 1-19. (Sixth author,SCI期刊论文)

(11) Chen, Y., Sun, K., Li, D.,Bai, T, & Huang, C. (2017). Radiometric cross-calibration of GF-4 pms sensor based on assimilation of landsat-8 oli images. Remote Sensing, 9(8), 811. (Fourth author,SCI期刊论文)

(12) Li, W., Sun, K., Li, D.,Bai, T, & Sui, H. (2017). A New Approach to Performing Bundle Adjustment for Time Series UAV Images 3D Building Change Detection. Remote Sensing, 9(6), 625. (Fourth author,SCI期刊论文)

(13) Li, W., Sun, K., Li, D., &Bai, T. (2016). Algorithm for automatic image dodging of unmanned aerial vehicle images using two-dimensional radiometric spatial attributes. Journal of Applied Remote Sensing, 10(3), 036023-036023. (Fourth author,SCI期刊论文)

(14) Chen, Y., Sun, K., Chen, C.,Bai, T, Park, T., Wang, W., & Myneni, R. B. (2019). Generation and Evaluation of LAI and FPAR Products from Himawari-8 Advanced Himawari Imager (AHI) Data. Remote Sensing, 11(13), 1517. (Fourth author,SCI期刊论文)

(15) Chen, Y., Sun, K., Li, D.,Bai, T, & Li, W. (2018). Improved relative radiometric normalization method of remote sensing images for change detection. Journal of Applied Remote Sensing, 12(4), 045018. (Fourth author,SCI期刊论文)

(16) Chen, Y.; Sun, K.; Li, W.; Hu, X.; Li, P.;Bai, T. VicariousCalibration of FengYun-3D MERSI-II at Railroad Valley Playa Site: A Casefor Sensors with Large View Angles.Remote Sens. 2021, 13, 1347. (Sixth author,SCI期刊论文)

(17)Chen, Y., Sun, K., Li, W., Chen, C., Li, P.,Bai, T., ... & Myneni, R. B. (2021). Prototyping of LAI and FPAR retrievals from GOES-16 advanced baseline imager data using global optimizing algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 6937-6950. (Sixth author,SCI期刊论文)

(18)陈业培,孙开敏,白婷,彭亚军.高分二号影像融合方法质量评价[J].测绘科学, 2017, 42(11): 35-40. (Thirdauthor,CSCD期刊论文)

(19) Xu, C., Hou, Y., Du, W., Cao, W., Wang, Y., Ye, Z., ... & Mei, L. (2024). DSHANet: dynamic sparse hierarchical attention-driven cropland change detection network with holistic complementation fusion. Journal of Applied Remote Sensing, 18(4), 044508-044508.(Seventh author,SCI期刊论文)


3.授权专利:

(1)基于随机森林的多尺度分层采样的高分卫星影像变化检测方法:ZL 201810214301.2。

(2)基于多特征综合及机器学习的高分卫星影像云检测方法:ZL 201610132801.2。

(3)一种顾及建筑物三维及边缘形状特征的无人机影像分割方法:ZL201810680919.8。

(4)用于大观测角传感器的交叉辐射定标方法及系统:ZL 201710349402.6。


4.科研奖励:

(1)2023 Excellent Paper Award(Deep learning for change detection in remote sensing: a review).