<P><B>Abstract</B></P> <P>This paper presents a fast and accurate method for matching oblique aerial image pairs. In order to achieve accurate matching results, we must consider viewpoint differences between the input im...
http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
https://www.riss.kr/link?id=A107454374
2019
-
SCI,SCIE,SCOPUS
학술저널
317-331(15쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
<P><B>Abstract</B></P> <P>This paper presents a fast and accurate method for matching oblique aerial image pairs. In order to achieve accurate matching results, we must consider viewpoint differences between the input im...
<P><B>Abstract</B></P> <P>This paper presents a fast and accurate method for matching oblique aerial image pairs. In order to achieve accurate matching results, we must consider viewpoint differences between the input images in addition to rotation and scaling. Existing methods that match aerial image pairs with viewpoint differences undergo heavy computation and have difficulty finding correspondences. In this paper, we propose a homography matrix evaluation method based on a geometric approach to increase the accuracy of image matching results. In addition, we achieve faster matching through an iterative transform simulation that reduces computational complexity. Experimental results show that the proposed method improves aerial image matching in terms of computational efficiency while achieving successful matching results.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Iterative transform simulation is proposed to reduce the computational complexity of image matching. </LI> <LI> A geometric method to evaluate the homography matrix is proposed to filter out wrong matching results. </LI> <LI> Superior performance in terms of speed while maintaining accuracy in matching oblique aerial images. </LI> </UL> </P>