RANDOM FOREST CLASSIFICATION SCENARIOS FOR BENTHIC HABITAT MAPPING USING PLANETSCOPE IMAGE

被引：0

作者：

Wicaksono, Pramaditya ^{[1
]}

Lazuardi, Wahyu ^{[1
]}

机构：

[1] Univ Gadjah Mada, Fac Geog, Dept Geog Informat Sci, Daerah Istimewa Yogyakar 55281, Indonesia

来源：

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年

关键词：

random forest; benthic habitat; accuracy assessment; PlanetScope;

D O I：

10.1109/igarss.2019.8899825

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

We presented the use of Random Forest (RF) classification to map benthic habitat in two small islands using different parameter scenario, which are the number of trees, the function to determine the number of randomly selected features, and the function to determine the impurity in a node. The results indicated that RF is a consistent performer with accuracy difference of 1.3% and 5.8% for the two Islands. Furthermore, different scenarios also producing similar benthic habitat spatial distribution and misclassification pattern.

引用

页码：8245 / 8248

页数：4

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