A Fast Aircraft Detection Method for SAR Images Based on Efficient Bidirectional Path Aggregated Attention Network. - Ru Luo; Lifu Chen; Jin Xing; Zhihui Yuan; Siyu Tan; Xingmin Cai; Jielan Wang (Remote. Sens., 2021)

Glassboxing Deep Learning to Enhance Aircraft Detection from SAR Imagery. - Ru Luo; Jin Xing; Lifu Chen; Zhouhao Pan; Xingmin Cai; Zengqi Li; Jielan Wang; Alistair C. Ford (Remote. Sens., 2021)

Integrating Weighted Feature Fusion and the Spatial Attention Module with Convolutional Neural Networks for Automatic Aircraft Detection from SAR Images. - Jielan Wang; Hongguang Xiao; Lifu Chen; Jin Xing; Zhouhao Pan; Ru Luo; Xingmin Cai (Remote. Sens., 2021)

Automatic Extraction of Layover From InSAR Imagery Based on Multilayer Feature Fusion Attention Mechanism. - Xingmin Cai; Lifu Chen; Jin Xing; Xuemin Xing; Ru Luo; Siyu Tan; Jielan Wang (IEEE Geosci. Remote. Sens. Lett., 2022)

Geospatial Transformer Is What You Need for Aircraft Detection in SAR Imagery. - Lifu Chen; Ru Luo; Jin Xing; Zhenhong Li 001; Zhihui Yuan; Xingmin Cai (IEEE Trans. Geosci. Remote. Sens., 2022)

How Can Geostatistics Help Us Understand Deep Learning? - Zhenhuan Fang; Lifu Chen; Jin Xing; Xingmin Cai (CRC, 2023)

Towards transparent deep learning for surface water detection from SAR imagery. - Lifu Chen; Xingmin Cai; Jin Xing; Zhenhong Li 001; Wu Zhu; Zhihui Yuan; Zhenhuan Fang (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Where is my attention? An explainable AI exploration in water detection from SAR imagery. - Lifu Chen; Xingmin Cai; Zhenhong Li 001; Jin Xing; Jiaqiu Ai (Int. J. Appl. Earth Obs. Geoinformation, 2024)

How can geostatistics help us understand deep learning? An exploratory study in SAR-based aircraft detection. - Lifu Chen; Zhenhuan Fang; Jin Xing; Xingmin Cai (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Automatic detection of earthquake triggered landslides using Sentinel-1 SAR imagery based on deep learning. - Lifu Chen; Zengqi Li; Chuang Song; Jin Xing; Xingmin Cai; Zhenhuan Fang; Ru Luo; Zhenhong Li 001 (Int. J. Digit. Earth, 2024)