A novel semisupervised transductive SVM with spatial similarity for classification of hyperspectral data. - Lian-Zhi Huo; Li-Jun Zhao 001; Ping Tang (WHISPERS, 2014)

Land-Use Scene Classification Using a Concentric Circle-Structured Multiscale Bag-of-Visual-Words Model. - Li-Jun Zhao 001; Ping Tang; Lian-Zhi Huo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Hyperspectral image classification with sparse representation classifier and active learning. - Lian-Zhi Huo; Li-Jun Zhao 001; Ping Tang (WHISPERS, 2016)

Application Potential of GF-4 Satellite Images for Water Body Extraction. - Lijun Zhao 001; Wei Zhang 112; Ping Tang (IGARSS, 2019)

Improved Visual Vocabularies for Scene Classification of High Resolution Remote Sensing Imagery in Urban Areas. - Lijun Zhao 001; Ping Tang (JURSE, 2019)

A Comparative Study of U-Nets with Various Convolution Components for Building Extraction. - Wei Zhang 112; Ping Tang; Lijun Zhao 001; Qingqing Huang (JURSE, 2019)

SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline In Vitro. - Dongao Ma; Ping Tang; Lijun Zhao 001 (IEEE Geosci. Remote. Sens. Lett., 2019)

Analysis of the inter-dataset representation ability of deep features for high spatial resolution remote sensing image scene classification. - Lijun Zhao 001; Wei Zhang 112; Ping Tang (Multim. Tools Appl., 2019)

Remote Sensing Image Scene Classification Using CNN-CapsNet. - Wei Zhang 112; Ping Tang; Lijun Zhao 001 (Remote. Sens., 2019)

Increasing Shape Bias to Improve the Precision of Center Pivot Irrigation System Detection. - Jiwen Tang; Zheng Zhang 021; Lijun Zhao 001; Ping Tang (Remote. Sens., 2021)

WTS: A Weakly towards Strongly Supervised Learning Framework for Remote Sensing Land Cover Classification Using Segmentation Models. - Wei Zhang 112; Ping Tang; Thomas Corpetti; Lijun Zhao 001 (Remote. Sens., 2021)

Few-Shot Object Detection of Remote Sensing Images via Two-Stage Fine-Tuning. - Zhitao Zhao; Ping Tang; Lijun Zhao 001; Zheng Zhang 021 (IEEE Geosci. Remote. Sens. Lett., 2022)