Search Results for author: Jie Shan

Found 6 papers, 0 papers with code

Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity

no code implementations31 Mar 2021 Yuanxin Ye, Jie Shan, Lorenzo Bruzzone, Li Shen

Moreover, a robust registration method is also proposed in this paper based on HOPCncc, which is evaluated using six pairs of multimodal remote sensing images.

Image Registration Template Matching

PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume

no code implementations15 Feb 2021 Anjali Balagopal, Howard Morgan, Michael Dohopoloski, Ramsey Timmerman, Jie Shan, Daniel F. Heitjan, Wei Liu, Dan Nguyen, Raquibul Hannan, Aurelie Garant, Neil Desai, Steve Jiang

A classifier is trained to identify which physician has contoured the CTV from just the contour and corresponding CT scan, to determine if physician styles are consistent and learnable.

Deep Learning Guided Building Reconstruction from Satellite Imagery-derived Point Clouds

no code implementations19 May 2020 Bo Xu, Xu Zhang, Zhixin Li, Matt Leotta, Shih-Fu Chang, Jie Shan

For points that belong to the same roof shape, a multi-cue, hierarchical RANSAC approach is proposed for efficient and reliable segmenting and reconstructing the building point cloud.

3D Reconstruction

Holistic Parameteric Reconstruction of Building Models from Point Clouds

no code implementations19 May 2020 Zhixin Li, Wenyuan Zhang, Jie Shan

The airborne LiDAR dataset RoofN3D with predefined roof types is used for our test.

Material Segmentation of Multi-View Satellite Imagery

no code implementations17 Apr 2019 Matthew Purri, Jia Xue, Kristin Dana, Matthew Leotta, Dan Lipsa, Zhixin Li, Bo Xu, Jie Shan

The residuals are computed by differencing the sparse-sampled reflectance function with a dictionary of pre-defined dense-sampled reflectance functions.

Material Recognition Semantic Segmentation

Fast and Robust Matching for Multimodal Remote Sensing Image Registration

no code implementations19 Aug 2018 Yuanxin Ye, Lorenzo Bruzzone, Jie Shan, Francesca Bovolo, Qing Zhu

To address this problem, this paper presents a fast and robust matching framework integrating local descriptors for multimodal registration.

Image Registration Template Matching

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