/BuildingHeightModel

Primary LanguagePythonMIT LicenseMIT

Paper: A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities.

Author: Yinxia Cao, Xin Huang. Details are shown in https://www.sciencedirect.com/science/article/pii/S0034425721003102

1. Data

see the sample directory. Note that the whole dataset is not available publicly now.

2. Train the model

python train_zy3bh_tlcnetU_loss.py

3. pretrained model

see runs/

If there is any issue, please feel free to contact me (email: yinxcao@163.com or yinxcao@whu.edu.cn).

acknowledgement

@article{mshahsemseg, Author = {Meet P Shah}, Title = {Semantic Segmentation Architectures Implemented in PyTorch.}, Journal = {https://github.com/meetshah1995/pytorch-semseg}, Year = {2017} }