Search Results for author:
Found 6 papers, 0 papers with code
Fast and Robust Matching for Multimodal Remote Sensing Image Registration
To address this problem, this paper presents a fast and robust matching framework integrating local descriptors for multimodal registration.
Material Segmentation of Multi-View Satellite Imagery
The residuals are computed by differencing the sparse-sampled reflectance function with a dictionary of pre-defined dense-sampled reflectance functions.
Deep Learning Guided Building Reconstruction from Satellite Imagery-derived Point Clouds
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.
Holistic Parameteric Reconstruction of Building Models from Point Clouds
The airborne LiDAR dataset RoofN3D with predefined roof types is used for our test.
PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume
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.
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity
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.
