Semantic Segmentation of Land Use / Land Cover (LU/LC) Types Using F-CNNS on Multi-Sensor (Radar-Ir-Optical) Image Data.
Usman Iqbal AhmedArturo VelascoBernhard RabusPublished in: IGARSS (2021)
Keyphrases
- land cover
- multi sensor
- semantic segmentation
- multispectral
- image data
- remote sensing
- image fusion
- remote sensing images
- land cover classification
- change detection
- satellite images
- data fusion
- hyperspectral
- infrared
- geographic information systems
- conditional random fields
- superpixels
- information retrieval
- urban growth
- supervised classification
- weakly supervised
- object classes
- machine learning
- high resolution
- image processing
- image content
- unsupervised learning
- image database
- image analysis
- urban areas
- scene classification
- high quality
- decision trees
- computer vision
- data sets