Title :
Object-Based Change Detection of Very High Resolution Satellite Imagery Using the Cross-Sharpening of Multitemporal Data
Author :
Biao Wang ; Seokkeun Choi ; Younggi Byun ; Soungki Lee ; Jaewan Choi
Author_Institution :
Sch. of Civil Eng., Chungbuk Nat. Univ., Cheongju, South Korea
Abstract :
In this letter, we present a method for unsupervised change detection based on the cross-sharpening of multitemporal images and image segmentation. Our method effectively reduces the change detection errors caused by relief or spatial displacement between multitemporal images with different acquisition angles. A total of four cross-sharpened images, including two general pansharpened images, were generated. Then, two pairs of cross-sharpened images were analyzed using change detection indexes. The effectiveness of the proposed method compared with other unsupervised change detection methods is demonstrated through experimentation.
Keywords :
geophysical image processing; image resolution; image segmentation; remote sensing; acquisition angles; change detection indexes; cross-sharpened images; general pansharpened images; image segmentation; multitemporal images; object-based change detection errors; relief displacement; spatial displacement; unsupervised change detection methods; very high resolution satellite imagery; Change detection algorithms; Correlation; Image resolution; Image segmentation; Indexes; Remote sensing; Satellites; Cross-sharpening; image segmentation; spatial displacement; unsupervised change detection;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2014.2386878
