资源算法FCN-4s-for-Building-Extraction

FCN-4s-for-Building-Extraction

2020-02-12 | |  32 |   0 |   0

Fully convolutional networks for building and road extraction

This is the reference implementation of the codes and models for the FCN-4s in the [IGARSS2016 FCN-4s paper](paper/FCN for building and road extraction.pdf).

Fully convolutional networks for building and road extraction: Preliminary results Zilong Zhong*, Jonathan Li, Weihong Cui, Han Jiang IGARSS 2016

Futher exploration about FCN models please refer to shelhamer/fcn.berkeleyvision.org.

Fully Convolutional Models for Semantic Segmentation Jonathan Long*, Evan Shelhamer*, Trevor Darrell CVPR 2015 arXiv:1411.4038

Before deploying this model, make sure you have installed the latest BVLC/caffe:master.
FCN-4s Model for building extraction in high spatial resolution imagery.

Training command:

python TrainingVal/solve.py

Evaluating command:

python evaluate.py


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