The “trusted pixel” approach for automatic in-season crop type classification with Landsat images

Liping Di, Chen Zhang, Li Lin, Sarah Di, Liying Guo

Research output: Contribution to conference › Paper › peer-review

Original language	English
Publication status	Published - 2019
Externally published	Yes
Event	ASPRS 2019 Annual Conference and 19th International Lidar Mapping Forum 2019, ILMF 2019 - Denver, United States Duration: Jan 28 2019 → Jan 30 2019

Conference	ASPRS 2019 Annual Conference and 19th International Lidar Mapping Forum 2019, ILMF 2019
Country/Territory	United States
City	Denver
Period	1/28/19 → 1/30/19

ASJC Scopus subject areas

@conference{7a71a01a7cfd46ce83dde4ac10f8e301,

title = "The “trusted pixel” approach for automatic in-season crop type classification with Landsat images",

author = "Liping Di and Chen Zhang and Li Lin and Sarah Di and Liying Guo",

year = "2019",

language = "English",

note = "ASPRS 2019 Annual Conference and 19th International Lidar Mapping Forum 2019, ILMF 2019 ; Conference date: 28-01-2019 Through 30-01-2019",

}

TY - CONF

T1 - The “trusted pixel” approach for automatic in-season crop type classification with Landsat images

AU - Di, Liping

AU - Zhang, Chen

AU - Lin, Li

AU - Di, Sarah

AU - Guo, Liying

PY - 2019

Y1 - 2019

UR - http://www.scopus.com/inward/record.url?scp=85065959670&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85065959670&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85065959670

T2 - ASPRS 2019 Annual Conference and 19th International Lidar Mapping Forum 2019, ILMF 2019

Y2 - 28 January 2019 through 30 January 2019

ER -