7 citations · 15 across the 6 of their papers we have counts for
6 papers
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors
Zhe Jiang, Marcus Stephen Kirby, Wenchong He +1
In recent years, deep learning techniques (e.g., U-Net, DeepLab) have achieved tremendous success in image segmentation. The performance of these models heavily relies on high-qual…
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint
Arpan Man Sainju, Wenchong He, Zhe Jiang +2
Spatial classification with limited feature observations has been a challenging problem in machine learning. The problem exists in applications where only a subset of sensors are d…
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy
Wenchong He, Arpan Man Sainju, Zhe Jiang +1
Given a 3D surface defined by an elevation function on a 2D grid as well as non-spatial features observed at each pixel, the problem of surface segmentation aims to classify pixels…
Flood Extent Mapping based on High Resolution Aerial Imagery and DEM: A Hidden Markov Tree Approach
Zhe Jiang, Arpan Man Sainju
Flood extent mapping plays a crucial role in disaster management and national water forecasting. In recent years, high-resolution optical imagery becomes increasingly available wit…
Mapping road safety features from streetview imagery: A deep learning approach
Arpan Sainju, Zhe Jiang
Each year, around 6 million car accidents occur in the U.S. on average. Road safety features (e.g., concrete barriers, metal crash barriers, rumble strips) play an important role i…
Geographical Hidden Markov Tree for Flood Extent Mapping (With Proof Appendix)
Miao Xie, Zhe Jiang, Arpan Man Sainju
Flood extent mapping plays a crucial role in disaster management and national water forecasting. Unfortunately, traditional classification methods are often hampered by the existen…