# 基于深度学习的遥感图像低对比度道路提取方法研究

**Repository Path**: zhgn2020814/Graduation-Design

## Basic Information

- **Project Name**: 基于深度学习的遥感图像低对比度道路提取方法研究
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 2
- **Forks**: 0
- **Created**: 2023-12-19
- **Last Updated**: 2024-06-10

## Categories & Tags

**Categories**: Uncategorized

**Tags**: Python

## README

# 基于深度学习的遥感图像低对比度道路提取方法研究

## CoANet

python create_crops.py

python create_connection.py --base_dir ../data/deepglobe/train/crops

python train.py --dataset=DeepGlobe


### 训练可视化

tensorboard --logdir=run
tensorboard --logdir=run/Low_Contrast_Roads/CoANet-resnet

### 消融实验
#### baseline-noscm-nocoa
v100:experiment_20240523_175936

3090:experiment_20240523_131717
     experiment_20240523_192447
     experiment_20240524_002608

#### baseline

v100:experiment_20240523_090109
3090:experiment_20240521_190749(90epoch)
#### 无SCM模块操作步骤
modeling.coanet.py中修改：
from modeling.decoder_noscm import build_decoder

v100:"experiment_20240522_125333/"
3090:'experiment_20240522_164446'
      experiment_20240523_090554

#### 无coa模块

V100:experiment_20240522_211009

#### ppm模块

v100:experiment_20240524_063207