Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches.
Bibek AryalStephen M. EscarzagaSergio A. Vargas ZesatiMiguel Velez-ReyesOlac FuentesCraig E. TweediePublished in: Remote. Sens. (2021)
Keyphrases
- weakly supervised
- semantic segmentation
- superpixels
- object class
- topic models
- relation extraction
- semi supervised
- computer vision
- image data
- high resolution
- multiscale
- named entities
- object segmentation
- object detection
- input image
- natural images
- conditional random fields
- long range
- text mining
- viewpoint
- automatic extraction
- pairwise
- data mining