计算机科学与技术、计算机技术
遥感图像智能解译、计算机视觉、人工智能
冯文卿，男，1991年8月，武汉大学摄影测量与遥感专业博士，bob电竞ios 特聘副教授。2013年获华中农业大学理学学士学位，2015年、2020年分别获武汉大学工学硕士和博士学位。2022年底入职bob电竞ios ，2023年4月被评为学术学位、专业学位硕士导师。现为我院数字孪生与机器视觉研究组成员。
研究方向：遥感图像智能解译、计算机视觉、人工智能。主要利用深度学习等方法进行遥感影像语义分割、遥感影像目标检测、遥感影像典型地物要素提取、遥感影像变化检测等。担任IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, International Journal of Applied Earth Observation and Geo-information, Remote Sensing, International Journal of Remote Sensing，Remote Sensing Letters等国际期刊审稿人。主持国家自然科学基金青年基金项目1项，参与国家自然科学基金项目多项，目前合计已发表论文20余篇。
联系方式:
电子邮箱: wq_feng@hdu.edu.cn
发表论文：
[1] Wenqing Feng, Jihui Tu, Chenhao Sun, Wei Xu. 2023. Barlow twin self-supervised pre-training for remote sensing change detection. Remote Sensing Letters, 14:10, 1085-1097.
[2] Yunlong Wang, Wenqing Feng, Kun Jiang, Qianchun Li, Ruipeng Lv and Jihui Tu. 2023. Real-Time Damaged Building Region Detection Based on Improved YOLOv5s and Embedded System From UAV Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 4205-4217.
[3] Wenqing Feng, Haigang Sui, Jihui Tu, Weiming Huang, Kaimin Sun. 2018. A novel change detection approach based on visual saliency and random forest from multi-temporal high-resolution remote-sensing images. International Journal of Remote Sensing, 39, 7998–8021.
[4] Wenqing Feng, Haigang Sui, Jihui Tu, Weiming Huang, Chuan Xu, Kaimin Sun. 2018. A novel change detection approach for multi-temporal high-resolution remote sensing images based on rotation forest and coarse-to-fine uncertainty ****yses [J]. Remote Sensing, 10(7): 1015-1037.
[5] Wenqing Feng, Haigang Sui, Weiming Huang, Chuan Xu, Kaiqiang An. 2019. Water body extraction from very high-resolution remote sensing imagery using deep u-net and a superpixel-based conditional random field model [J]. IEEE Geoscience and Remote Sensing Letters, 16(4):618-622.
[6] Wenqing Feng, Haigang Sui, Li Hua, Chuan Xu, Weiming Huang. 2020. Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map. International Journal of Remote Sensing, 41(17):6595-6617.
[7] 冯文卿, 张永军. 2015. 利用多尺度融合进行面向对象的遥感影像变化检测. 测绘学报, 44(10):1142-1151. （获“中国精品科技期刊顶尖学术论文”领跑者F5000）
[8] 冯文卿, 眭海刚, 涂继辉, 孙开敏, 黄伟明. 2017. 高分辨率遥感影像的随机森林变化检测方法. 测绘学报, (11):90-100.
[9] 冯文卿, 眭海刚, 涂继辉, 孙开敏. 2017. 联合像素级和对象级分析的遥感影像变化检测. 测绘学报, 46(9):1147-1155.
[10] 眭海刚, 冯文卿, 李文卓, 孙开敏, 徐川. 2018. 多时相遥感影像变化检测方法综述. 武汉大学学报(信息科学版), 43(12):132-145.
[11] 冯文卿，张永军. 2016. 利用模糊综合评判进行面向对象的遥感影像变化检测．武汉大学学报(信息科学版), 41(7):875-881.
[12] Wenqing Feng, Haigang Sui, Li Hua, Chuan Xu. 2019. Improved deep fully convolutional network with superpixel-based conditional random fields for building extraction. IEEE international Geoscience and Remote Sensing Symposium (IGARSS), July 28-August 2, Yokohama, Japan.
[13] Wenqing Feng, Haigang Sui, Xu Chen. 2018. Saliency-guided change detection of remotely sensed images using random forest. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3, ISPRS TC III Mid-term Symposium “Developments, Technologies and Applications in Remote Sensing”, 7-10 May, Beijing.