A Fixed-Threshold Approach to Generate High-Resolution Vegetation Maps for IKONOS Imagery

Sensors

Wen-Chun Cheng¹  Jyh-Chian Chang²  Chien-Ping Chang¹  Yu Su¹ 

[1] Department of Electrical Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan 335, Taiwan, R.O.C.; E-mails:;Department of Information Communications, Kainan University, Taoyuan 338, Taiwan, R.O.C.; E-mail:

关键词: IKONOS;    NDVI;    Tasseled Cap transformation;    image fusion;   

DOI  :  10.3390/s8074308

来源: mdpi

【 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.

【 授权许可】

CC BY   
© 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.