A Fast and Effective Method for Unsupervised Segmentation Evaluation of Remote Sensing Images. - Maofan Zhao; Qingyan Meng; Linlin Zhang; Die Hu; Ying Zhang; Mona Allam (Remote. Sens., 2020)

Land Cover and Crop Classification Based on Red Edge Indices Features of GF-6 WFV Time Series Data. - Yupeng Kang; Xinli Hu; Qingyan Meng; Youfeng Zou; Linlin Zhang; Miao Liu; Maofan Zhao (Remote. Sens., 2021)

Developing a Method to Extract Building 3D Information from GF-7 Data. - Jingyuan Wang; Xinli Hu; Qingyan Meng; Linlin Zhang; Chengyi Wang; Xiangchen Liu; Maofan Zhao (Remote. Sens., 2021)

How do urban morphological blocks shape spatial patterns of land surface temperature over different seasons? A multifactorial driving analysis of Beijing, China. - Die Hu; Qingyan Meng; Uwe Schlink; Daniel Hertel; Wenxiu Liu; Maofan Zhao; Fengxiang Guo (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Multilayer Feature Fusion Network With Spatial Attention and Gated Mechanism for Remote Sensing Scene Classification. - Qingyan Meng; Maofan Zhao; Linlin Zhang; Wenxu Shi; Chen Su; Lorenzo Bruzzone (IEEE Geosci. Remote. Sens. Lett., 2022)

DSANet: A Deep Supervision-Based Simple Attention Network for Efficient Semantic Segmentation in Remote Sensing Imagery. - Wenxu Shi; Qingyan Meng; Linlin Zhang; Maofan Zhao; Chen Su; Tamás Jancsó (Remote. Sens., 2022)

Incomplete Multimodal Learning for Remote Sensing Data Fusion. - Yuxing Chen; Maofan Zhao; Lorenzo Bruzzone (CoRR, 2023)

Local and Long-Range Collaborative Learning for Remote Sensing Scene Classification. - Maofan Zhao; Qingyan Meng; Linlin Zhang; Xinli Hu; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2023)

A multimodal fusion framework for urban scene understanding and functional identification using geospatial data. - Chen Su; Xinli Hu; Qingyan Meng; Linlin Zhang; Wenxu Shi; Maofan Zhao (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A deep learning framework for 3D vegetation extraction in complex urban environments. - Jiahao Wu; Qingyan Meng; Liang Gao; Linlin Zhang; Maofan Zhao; Chen Su (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A Novel Approach to Incomplete Multimodal Learning for Remote Sensing Data Fusion. - Yuxing Chen; Maofan Zhao; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2024)

Beyond Pixel-Level Annotation: Exploring Self-Supervised Learning for Change Detection With Image-Level Supervision. - Maofan Zhao; Xinli Hu; Linlin Zhang; Qingyan Meng; Yuxing Chen; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2024)

IAE-CDNet: A Remote Sensing Change Detection Network for Buildings With Interactive Attention-Enhanced. - Zhaoyang Han; Linlin Zhang; Qingyan Meng; Chongchang Wang; Wenxu Shi; Maofan Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Instance-Level Multitask Learning for 3-D Building Extraction From Monocular Off-Nadir Satellite Sensor Imagery. - Wenxu Shi; Qingyan Meng; Linlin Zhang; Maofan Zhao; Chen Su; Guinan Guo; Ting Li; Peter M. Atkinson (IEEE Trans. Geosci. Remote. Sens., 2025)

A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges. - Lei Ding 008; Danfeng Hong; Maofan Zhao; Hongruixuan Chen; Chenyu Li 002; Jie Deng 002; Naoto Yokoya; Lorenzo Bruzzone; Jocelyn Chanussot (CoRR, 2025)