Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images.
Teerapong PanboonyuenKulsawasd JitkajornwanichSiam LawawirojwongPanu SrestasathiernPeerapon VateekulPublished in: Remote. Sens. (2021)
Keyphrases
- remotely sensed images
- semantic segmentation
- change detection
- superpixels
- remote sensing images
- conditional random fields
- remote sensing
- multispectral
- weakly supervised
- scene classification
- supervised classification
- multispectral images
- object classes
- object categories
- pascal voc
- land cover
- object class
- object recognition
- satellite images
- data streams
- object detection
- hidden markov models
- multiscale
- unsupervised learning
- generative model
- natural images
- maximum likelihood
- image features
- information extraction