首页|Feature-based image registration of ALOS PALSAR and AVNIR-2 images
Feature-based image registration of ALOS PALSAR and AVNIR-2 images
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NETL
IEEE
The integration of optical and radar sensors in a common area is an important task in data fusion as well as other applications。 The objective of this study is to perform the feature-based registration of ALOS PALSAR and AVNIR-2 images。 The proposed method iteratively minimizes the discrepancy between the feature edges in PALSAR and AVNIR-2 images。 A coarse-to-fine strategy is also adopted by applying an image pyramid。 The accuracy of feature-based matching has increased from low to high resolution。 The test images are synchronous PALSAR and AVNIR-2 images in Japan。 The experimental results indicate that one pixel accuracy can be achieved using feature-based matching。
ALOSAVNIR-2PALSARmatchingregistration
Teo, Tee-Ann、Chen, Shin-Yu
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Department of Civil Engineering, National Chiao Tung University, Hsinchu, Taiwan 30010
Vancouver(CA)
2011 IEEE International Geoscience & Remote Sensing Symposium
NETL
IEEE
