Semantic Segmentation for Urban Planning Maps Based on U-Net.
Zhiling GuoHiroaki ShengokuGuangming WuQi ChenWei YuanXiaodan ShiXiaowei ShaoYongwei XuRyosuke ShibasakiPublished in: IGARSS (2018)
Keyphrases
- urban planning
- semantic segmentation
- conditional random fields
- superpixels
- scene classification
- urban areas
- weakly supervised
- object categories
- geographical information systems
- object classes
- geographic information systems
- public space
- image analysis
- object segmentation
- multiple images
- machine learning
- image set
- image content
- image classification
- object detection
- multiscale
- three dimensional