LAND COVER CLASSIFICATION USING HIGH RESOLUTION SATELLITE IMAGE BASED ON DEEP LEARNING

Zhu, M.; Wu, B.; He, Y. N.; He, Y. Q.

doi:https://doi.org/10.5194/isprs-archives-XLII-3-W10-685-2020

Articles | Volume XLII-3/W10

https://doi.org/10.5194/isprs-archives-XLII-3-W10-685-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-archives-XLII-3-W10-685-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume XLII-3/W10

07 Feb 2020

| 07 Feb 2020

LAND COVER CLASSIFICATION USING HIGH RESOLUTION SATELLITE IMAGE BASED ON DEEP LEARNING

M. Zhu, B. Wu, Y. N. He, and Y. Q. He

No related articles found.

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Useful Links

Useful External Links

Our Contact

ISPRS
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org