Hyperspectral Sea Ice Image Classification Based on the Spectral-Spatial-Joint Feature with the PCA Network

Hyperspectral Sea Ice Image Classification Based on the Spectral-Spatial-Joint Feature with the PCA Network

Sea ice is one of the most prominent causes of marine disasters occurring at high latitudes. The detection of sea ice is particularly important, and the classification of sea ice images is an important part of sea ice detection. Traditional sea ice classification based on optical remote sensing most...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Yanling Han, Xi Shi, Shuhu Yang, Yun Zhang, Zhonghua Hong, Ruyan Zhou
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2021-06-01
Sarja:Remote Sensing
Aiheet:
sea ice classification
gray-level co-occurrence matrix
Gabor filter
PCA network
spectral-spatial-joint
Linkit:https://www.mdpi.com/2072-4292/13/12/2253

Internet

https://www.mdpi.com/2072-4292/13/12/2253

Samankaltaisia teoksia