SUGARCANE CLASSIFICATION OPTIMIZATION METHOD BASED ON HIGH RESOLUTION SATELLITE REMOTE SENSING IMAGE OF LOVÁSZ HINGE
In recent years, great progress has been made in the study of semantic segmentation in the field of computer vision. The accuracy of semantic segmentation has been constantly improved, and it has been widely applied in the fields of automatic driving, medical treatment and remote sensing image class...
Main Authors: | Y. N. He, M. Zhu, Y. Q. He, B. Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-02-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/397/2020/isprs-archives-XLII-3-W10-397-2020.pdf |
Similar Items
-
Remote Sensing Image Classification of Geoeye-1 High-Resolution Satellite
by: B. Yang, et al.
Published: (2014-04-01) -
György Lovász (1931-2016)
by: Dénes Lóczy, et al.
Published: (2017-03-01) -
LAND COVER CLASSIFICATION USING HIGH RESOLUTION SATELLITE IMAGE BASED ON DEEP LEARNING
by: M. Zhu, et al.
Published: (2020-02-01) -
Lovasz-type theorems and game comonads
by: Dawar, A, et al.
Published: (2021) -
Hypergraph colouring and the Lovász Local Lemma
by: McDiarmid, C
Published: (1997)