An improved random decision trees algorithm with application to land cover classification

2010 ◽  
Author(s):  
Haiwei Xu ◽  
Minhua Yang ◽  
Liang Liang
Keyword(s):  
Land Cover ◽  
Decision Trees ◽  
Land Cover Classification ◽  
Random Decision Trees

Land Cover Classification from Polarimetric SAR Data Based on Image Segmentation and Decision Trees

2015 ◽  
Vol 41 (1) ◽  
pp. 40-50 ◽  
Author(s):  
Yonghong Zhang ◽  
Jixian Zhang ◽  
Xianfeng Zhang ◽  
Hongan Wu ◽  
Ming Guo
Keyword(s):  
Image Segmentation ◽  
Land Cover ◽  
Decision Trees ◽  
Land Cover Classification ◽  
Polarimetric Sar ◽  
Sar Data

Land cover classification for the monitoring of winter grain crops within the Kyiv oblast and Mykolaiv oblast (Ukraine) with the use of MODIS data

2009 ◽  
Vol 15 (5) ◽  
pp. 16-23
Author(s):  
O.I. Sakhatsky ◽  
◽  
G.M. Zholobak ◽  
A.A. Makarova ◽  
O.A. Apostolov ◽  
...  
Keyword(s):  
Land Cover ◽  
Land Cover Classification ◽  
Grain Crops ◽  
Modis Data

Data post processing

2018 ◽  
Author(s):  
Serge A. Wich ◽  
Lian Pin Koh
Keyword(s):  
Land Cover ◽  
Structure From Motion ◽  
Land Cover Classification ◽  
Post Processing ◽  
Surface Models

This chapter discusses how data that have been collected with drones can be used to derive orthomosaics and digital surface models through structure-from-motion software and how these can be processed further for land-cover classification or into vegetation metrics. Some examples of the various programs are provided as well. The chapter ends with a discussion on the approaches that have been used to automate counts of animals in drone images.

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