A Comparative Analysis of Machine Learning with WorldView-2 Pan-Sharpened Imagery for Tea Crop Mapping

Author： Chuang Yung-Chung Matt   Shiu Yi-Shiang  

Publisher： MDPI

E-ISSN： 1424-8220|16|5|594-594

ISSN： 1424-8220

Source： Sensors, Vol.16, Iss.5, 2016-04, pp. : 594-594

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis

By Karlson Martin   Reese Heather   Ostwald Madelene  

Sensors, Vol. 14, Iss. 12, 2014-11 ,pp. : 22643-22669

MDPI

Access to resources Recommend Favorite

Bamboo Classification Using WorldView-2 Imagery of Giant Panda Habitat in a Large Shaded Area in Wolong, Sichuan Province, China

By Tang Yunwei   Jing Linhai   Li Hui   Liu Qingjie   Yan Qi   Li Xiuxia  

Sensors, Vol. 16, Iss. 11, 2016-11 ,pp. : 1957-1957

MDPI

Access to resources Recommend Favorite

Machine Learning Comparison between WorldView-2 and QuickBird-2-Simulated Imagery Regarding Object-Based Urban Land Cover Classification

By Novack Tessio   Esch Thomas   Kux Hermann   Stilla Uwe  

Remote Sensing, Vol. 3, Iss. 10, 2011-10 ,pp. : 2263-2282

MDPI

Access to resources Recommend Favorite

Accuracy Assessment of Digital Surface Models Based on WorldView-2 and ADS80 Stereo Remote Sensing Data

By Hobi Martina L.   Ginzler Christian  

Sensors, Vol. 12, Iss. 5, 2012-05 ,pp. : 6347-6368

MDPI

Access to resources Recommend Favorite

Using Bi-Seasonal WorldView-2 Multi-Spectral Data and Supervised Random Forest Classification to Map Coastal Plant Communities in Everglades National Park

By Wendelberger Kristie S.   Gann Daniel   Richards Jennifer H.  

Sensors, Vol. 18, Iss. 3, 2018-03 ,pp. : 829-829

MDPI

Access to resources Recommend Favorite