[1] Ma, P., Lin, H., Wang, W., Yu, H., Chen, F., Jiang, L., . . . Wang, J., 2021. Toward Fine Surveillance: A Review of Multitemporal Interferometric Synthetic Aperture Radar for Infrastructure Health Monitoring. IEEE Geoscience and Remote Sensing Magazine, 2-25.

[2] Zhao, Z., Wu, Z., Zheng, Y., & Ma, P.*, 2021. Recurrent neural networks for atmospheric noise removal from InSAR time series with missing values. ISPRS Journal of Photogrammetry and Remote Sensing, 180, 227-237.

[3] Lin, Y., Wan, L., Zhang, H., Wei, S., Ma, P.*, Li, Y., & Zhao, Z., 2021. Leveraging optical and SAR data with a UU-Net for large-scale road extraction. International Journal of Applied Earth Observation and Geoinformation, 103, 102498.

[4] Wu, Z., Zhao, Z., Ma, P.*, & Huang, B., 2021. Real-World DEM Super-Resolution based on Generative Adversarial Networks for Improving InSAR Topographic Phase Simulation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-1.

[5] Ma, P., Cui, Y., Wang, W., Lin, H., & Zhang, Y., 2021. Coupling InSAR and numerical modeling for characterizing landslide movements under complex loads in urbanized hillslopes. Landslides, 1-13.

[6] Shi, G., Ma, P.*, Hu, X., Huang, B., & Lin, H., 2021. Surface response and subsurface features during the restriction of groundwater exploitation in Suzhou (China) inferred from decadal SAR interferometry. Remote Sensing of Environment, 256, 112327.

[7] Ma, P., Zhang, F., Lin, H., 2020. Prediction of InSAR time-series deformation using deep convolutional neural networks. Remote Sensing Letters 11, 137-145.

[8] Shi, G., Ma, P., Lin, H., Huang, B., Zhang, B., Liu, Y., 2020. Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios. Remote Sensing 12, 686.

[9] Ma, P., Wang, W., Zhang, B., Wang, J., Shi, G., Huang, G., Chen, F., Jiang, L., Lin, H., 2019. Remotely sensing large-and small-scale ground subsidence: A case study of the Guangdong–Hong Kong–Macao Greater Bay Area of China. Remote Sensing of Environment 232, 111282.

[10] Ma, P., Li, T., Fang, C., Lin, H., 2019. A tentative test for measuring the sub-millimeter settlement and uplift of a high-speed railway bridge using COSMO-SkyMed images. ISPRS Journal of Photogrammetry and Remote Sensing 155, 1-12.

[11] Liu, Y., Ma, P.*, Lin, H., Wang, W., Shi, G., 2019. Distributed Scatterer InSAR Reveals Surface Motion of the Ancient Chaoshan Residence Cluster in the Lianjiang Plain, China. Remote Sensing 11, 166.

[12] Ma, P., Liu, Y., Wang, W., Lin, H., 2019. Optimization of PSInSAR networks with application to TomoSAR for full detection of single and double persistent scatterers. Remote Sensing Letters 10, 717-725.

[13] Shi, G., Lin, H., Bürgmann, R., Ma, P., Wang, J., Liu, Y., 2019. Early soil consolidation from magnetic extensometers and full resolution SAR interferometry over highly decorrelated reclaimed lands. Remote Sensing of Environment 231, 111231.

[14] Zhang, B., Wang, R., Deng, Y., Ma, P., Lin, H., Wang, J., 2019. Mapping the Yellow River Delta land subsidence with multitemporal SAR interferometry by exploiting both persistent and distributed scatterers. ISPRS Journal of Photogrammetry and Remote Sensing 148, 157-173.

[15] Wang, J., Deng, Y., Wang, R., Ma, P., Lin, H., 2019. A Small-Baseline InSAR Inversion Algorithm Combining a Smoothing Constraint and L₁-Norm Minimization. IEEE Geoscience and Remote Sensing Letters.

[16] Wang, J., Huang, B., Zhang, H.K., Ma, P., 2019. Sentinel-2A Image Fusion Using a Machine Learning Approach. IEEE Transactions on Geoscience and Remote Sensing 57, 9589-9601.

[17] Shi, G., Lin, H., Ma, P.*, 2018. A Hybrid Method for Stability Monitoring in Low-Coherence Urban Regions Using Persistent and Distributed Scatterers. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-11.

[18] Zhou, L., Chai, D., Xia, Y., Ma, P., 2018. Comparison of optimization algorithms for interferometric synthetic aperture radar phase unwrapping based on identical Markov random fields. Journal of Applied Remote Sensing 12, 025016.

[19] Sun, Q., Jiang, L., Jiang, M., Lin, H., Ma, P., Wang, H., 2018. Monitoring Coastal Reclamation Subsidence in Hong Kong with Distributed Scatterer Interferometry. Remote Sensing 10, 1738.

[20] Zhou, L., Chai, D., Xia, Y., Ma, P., Lin, H., 2018. Interferometric synthetic aperture radar phase unwrapping based on sparse Markov random fields by graph cuts. Journal of Applied Remote Sensing 12, 015006.

[21] Lin, H., Ma, P.*, 2017. Urban infrastructural health diagnosis with satellite-terrestrial sensing technologies. Annals of GIS, 1-8.

[22] Lin Hui, Ma, P.*, Wang Weixi, 2017. Urban Infrastructure Health Monitoring with Spaceborne Multi-temporal Synthetic Aperture Radar Interferometry[J]. Acta Geodaetica et Cartographica Sinica, 46(10): 1421-1433.

[23] Chen, F., Guo, H., Ma, P., Lin, H., Wang, C., Ishwaran, N., Hang, P., 2017. Radar interferometry offers new insights into threats to the Angkor site. Science advances 3, e1601284.

[24] Xu, Y., Ren, C., Ma, P., Ho, J., Wang, W., Lau, K.K.-L., Lin, H., Ng, E., 2017. Urban morphology detection and computation for urban climate research. Landscape and Urban Planning 167, 212-224.

[25] Chen, F., Wu, Y., Zhang, Y., Parcharidis, I., Ma, P., Xiao, R., Xu, J., Zhou, W., Tang, P., Foumelis, M., 2017. Surface Motion and Structural Instability Monitoring of Ming Dynasty City Walls by Two-Step Tomo-PSInSAR Approach in Nanjing City, China. Remote Sensing 9, 371.

[26] Ma, P., Lin, H., 2016. Robust Detection of Single and Double Persistent Scatterers in Urban Built Environments. IEEE Transactions on Geoscience and Remote Sensing 54, 2124-2139.

[27] Ma, P., Lin, H., Lan, H., Chen, F., 2015. Multi-dimensional SAR tomography for monitoring the deformation of newly built concrete buildings. ISPRS Journal of Photogrammetry and Remote Sensing 106, 118-128.

[28] Ma, P., Lin, H., Lan, H., Chen, F., 2015. On the performance of reweighted L1 minimization for tomographic SAR imaging. IEEE Geoscience and Remote Sensing Letters 12, 895-899.