Under preparation

– Kang Liang, Zhong Lu, and Jinwoo Kim, Deep Learning for InSAR Point Cloud Analysis: Phase Denoising and Measurement Point Refinement, in preparation.

– Kang Liang, Zhong Lu, and Jinwoo Kim, Moraine: MOdern RAdar Interferometry Environment in the Big Data Era, in preparation.

Submitted

– Kang Liang, Zhong Lu, and Jinwoo Kim, Are Deep Learning Models Trained on Synthetic Data Actually Reliable in InSAR? A Self-Supervised Learning Approach for InSAR Phase Denoising, submited to IEEE TGRS and preprinted at https://doi.org/10.36227/techrxiv.176523361.13124817/v1.

– Qingyu Sui, Zhong Lu, Tyler M. Meng, Jinwoo Kim, Bretwood Higman, Chunli Dai, Emmanuel Junior Budukumah, Sam McColl, Ian Howat, Chad Hults, Vamshi Karanam, Kang Liang, Hydrometeorological and Topographic Controls Govern Spatiotemporal Heterogeneity in Rock Glacier Kinematics: Insights from Satellite Interferometry in Southeastern Alaska, submited to JGR Earth Surface.

Published

• Kang Liang*, Jinwoo Kim, Zhong Lu, Heresh Fattahi, Mary Grace Bato, Virginia Barancato, Seongsu Jeong, and Vamshi Karanam, 2025, Offset Tracking With Geocoded SLC, IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-13, 2025, Art no. 5212313, doi: 10.1109/TGRS.2025.3570627.