Automatic Vegetation Identification and Building Detection from a Single Nadir Aerial Image

被引：59

作者：

Shorter, Nicholas ^{[1
]}

Kasparis, Takis ^{[1
]}

机构：

[1] Univ Cent Florida, Sch Elect Engn & Comp Sci EECS, Orlando, FL 32816 USA

来源：

REMOTE SENSING | 2009年 / 1卷 / 04期

关键词：

vegetation identification; building detection; color invariants; nadir aerial image; EXTRACTION;

D O I：

10.3390/rs1040731

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A novel, automatic tertiary classifier is proposed for identifying vegetation, building and non-building objects from a single nadir aerial image. The method is unsupervised, that is, no parameter adjustment is done during the algorithm's execution. The only assumption the algorithm makes about the building structures is that they have convex rooftop sections. Results are provided for two different actual data sets.

引用

页码：731 / 757

页数：27

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