Semantic Segmentation On Medium-Resolution Satellite Images Using Deep Convolutional Networks With Remote Sensing Derived Indices.
Sirinthra ChantharajKissada PornratthanapongPitchayut ChitsinpchayakunTeerapong PanboonyuenPeerapon VateekulSiam LawawirojwongPanu SrestasathiernKulsawasd JitkajornwanichPublished in: JCSSE (2018)
Keyphrases
- satellite images
- remote sensing
- semantic segmentation
- high resolution
- multispectral
- change detection
- satellite imagery
- remote sensing images
- land cover
- high resolution satellite images
- superpixels
- image fusion
- high spatial resolution
- hyperspectral
- weakly supervised
- digital elevation models
- image processing
- conditional random fields
- image analysis
- satellite data
- object categories
- landsat tm
- google earth
- object classes
- urban areas
- multi spectral images
- spatial resolution
- hyperspectral imagery
- remotely sensed
- super resolution
- face recognition
- hyperspectral images
- multispectral images
- computer vision