Cargando...
Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification
In this paper, we aim at tackling a general but interesting cross-modality feature learning question in remote sensing community—can a limited amount of highly-discriminative (e.g., hyperspectral) training data improve the performance of a classification task using a large amount of poorly-discrimin...
Gardado en:
| Publicado en: | ISPRS J Photogramm Remote Sens |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Elsevier
2019
|
| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6360532/ https://ncbi.nlm.nih.gov/pubmed/30774220 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isprsjprs.2018.10.006 |
| Tags: |
Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|