LAND COVER CLASSIFICATION OF VERY HIGH SPATIAL RESOLUTION SATELITE IMAGERY

被引：2

作者：

Chang, Chew Wai ^{[1
]}

Shi, Cheng Hua ^{[1
]}

Liew, Soo Chin ^{[1
]}

Kwoh, Leong Keong ^{[1
]}

机构：

[1] Natl Univ Singapore, CRISP, Singapore 119076, Singapore

来源：

2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年

关键词：

land cover; object orientated;

D O I：

10.1109/IGARSS.2013.6723376

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Classification of Very high-resolution optical sensors imagery into Land Cover/Land use map is an important and challenging task. The detailed visual information of land targets makes the classification task difficult and methods difficult to standardize. In this work, we use an objected orientated approach to classify worldview-2 images into Land Cover maps. The approach applies atmospheric correction to worldview-2 image, segmenting into various polygons and a rule-based decision table is applied to process the image into a land cover map.

引用

页码：2685 / 2687

页数：3

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