AN AUTOMATED METHOD FOR NORMALISING LARGE LANDSAT TIME SERIES DATASETS TO LIKE VALUES FOR CHANGE DETECTION

被引：0

作者：

Opie, Kimberley ^{[1
]}

Sims, Neil ^{[1
]}

机构：

[1] CSIRO Land & Water, Clayton 3169, Australia

来源：

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

关键词：

Landsat; normalisation; change detection; pseudo-invariant features;

D O I：

10.1109/IGARSS.2013.6723190

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：

The increased availability of Landsat imagery provides the opportunity to monitor changes in the land surface over long time frames. This paper presents an automated method for normalizing satellite images to a calibrated reference image using pseudo invariant features (PIFs). The method is repeatable, objective and fast, and has been used to prepare a large collection of Landsat images for flood inundation detection.

引用

页码：1956 / 1958

页数：3

共 5 条

[1]

Furby S. L., 1996, P 8 AUSTR REM SENS P

[2] Calibrating images from different dates to 'like-value' digital counts [J].