A fixed-threshold approach to generate high-resolution vegetation maps for IKONOS imagery

被引：26

作者：

Cheng, Wen-Chun ^{[1
]}

Chang, Jyh-Chian ^{[2
]}

Chang, Chien-Ping ^{[1
]}

Su, Yu ^{[1
]}

Tu, Te-Ming ^{[1
]}

机构：

[1] Natl Def Univ, Chung Cheng Inst Technol, Dept Elect Engn, Tao Yuan 335, Taiwan

[2] Kainan Univ, Dept Informat Commun, Tao Yuan 338, Taiwan

来源：

SENSORS | 2008年 / 8卷 / 07期

关键词：

IKONOS; NDVI; Tasseled Cap transformation; image fusion;

D O I：

10.3390/s8074308

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Vegetation distribution maps from remote sensors play an important role in urban planning, environmental protecting and related policy making. The normalized difference vegetation index (NDVI) is the most popular approach to generate vegetation maps for remote sensing imagery. However, NDVI is usually used to generate lower resolution vegetation maps, and particularly the threshold needs to be chosen manually for extracting required vegetation information. To tackle this threshold selection problem for IKONOS imagery, a fixed-threshold approach is developed in this work, which integrates with an extended Tasseled Cap transformation and a designed image fusion method to generate high-resolution (1-meter) vegetation maps. Our experimental results are promising and show it can generate more accurate and useful vegetation maps for IKONOS imagery.

引用

页码：4308 / 4317

页数：10

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