Please use this identifier to cite or link to this item:
The Effecct of Radiometric Normalization on SPOT Satellite Image Change Detection
Relative Radiometric Normalization of Satellite Images
Pseudo Invariant Feature
Linear Regression Normalization
Normalized Difference Vegetation Index
Root Mean Square Error
The rate of mountain area is over 50% in Taiwan. Landuse change monitoring has become important increasingly, because alpine vegetation is subject to environmental change. Change detection through satellite images may save much cost and labor, and digital images also facilitate processing and storage in a time?series database. However, radiometric difference introduced by atmosphere, illumination, sensor, and plant phenology may reduce the accuracy of change detection. The study was intended to confirm the importance of image normalization. It also eevaluated the performance of different image normalization methods in relation to change detection. Histogram matching (HM), linear regression normalization (LRN), and normalized difference vegetation index (NDVI) were applied to eight?date SPOT images in four seasons of 1994 and 1998 in Hohuan mountain area. The methods were compared in terms of their capability to improve visual image quality, statistical robustness, and ease of implementation. HM exhibited the best overall performance among them, NDVI was second to HM, and LRN was the last. Image normalization had better performance using visible bands than using near?infrared band. The performance had a tendency to increase with a smaller season difference between an image pair. Namely, an image pair acquired in the same season, particulary in summer, was better than one acquired in winter, the other in summer or vice versa. The key to a high or low accuracy in change detection was the errorneous assignment of no?change pixels to the likely?change or true?change pixels. Thus image normalization was of great important for change detection.
|Appears in Collections:||森林學系|
Show full item record
TAIR Related Article
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.