土地利用动态遥感监测中基于IRS-P5/P6影像的融合与评价

Data Fusion and Evaluation Based on IRS-P5/P6 Images in Dynamic Monitoring of Land Use

摘要:

数据融合是增强纹理处理的一种方法，是土地利用动态变化监测的重要基础，针对不同的应用目的与数据源应选择不同的融合算法。该文针对IRS-P5/P6影像在土地利用动态遥感监测中的应用，分别应用乘积法、Brovey变换、HIS变换3种常规的融合方法进行了融合试验，并对融合质量从目视分析和定量分析2个方面进行了比较，认为HIS变换比较适合于IRS-P5/P6影像数据的融合。

Abstract:

Data fusion technology is an important component of remote sensing technology. It is the important foundation in dynamic monitoring of land use. Different fusion algorithms should be chosen due to different application aims and data sources. Based on the application of IRS-P5/P6 images in land use dynamic monitoring system, fusion experiment has been done by using three methods, such as multiplication, brovey transform and Hue-Intensity-Saturation. From the aspects of qualitative and quantitative, the fusion quality is compared. It is regarded that Hue-Intensity-Saturation is suitable for data fusion of IRS-P5/P6 images in land use dynamic monitoring system.