Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Byoung-Ki Jeon"'
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
2022 IEEE International Conference on Big Data and Smart Computing (BigComp).
Publikováno v:
WACV/MOTION
In this paper, we present a novel solution of image segmentation based on positiveness by regarding the segmentation as one of the graph-theoretic clustering problems. On the contrary to spectral clustering methods using eigenvectors, the proposed me
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 40:22-29
This paper presents a technique for the detection of roads in a spaceborne synthetic aperture radar (SAR) image using a genetic algorithm (GA). Roads in a spaceborne SAR image can be modeled as curvilinear structures that possess width. Curve segment
Publikováno v:
SPIE Proceedings.
This paper presents a technique for detection of roads in a spaceborne SAR image using a genetic algorithm. Roads in a spaceborne SAR image can be modelled as curvilinear structures with some thickness. Curve segments, which represent candidate posit
Publikováno v:
ICIP
This paper presents a technique for the detection of roads in a spaceborne SAR image using a genetic algorithm. Roads in a spaceborne SAR image can be modelled as curvilinear structures with some thickness. Curve segments, which represent the candida
Publikováno v:
ICIP (2)
This paper presents an automatic and map-based road detection algorithm for spaceborne SAR images, aiming at subpixel accuracy on average. We propose a two-step algorithm which is composed of the coarse and the fine matching. In the coarse matching s
Publikováno v:
2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1; 2005, p2-7, 6p
Publikováno v:
Journal of Electronic Imaging. 13:602
We present a robust region segmentation method based on a pseudo-distance map (PDM) that uses a watershed algorithm as a segmentation tool. The PDM is a regularized version of a Eu- clidean distance map (EDM) directly computed from the edge- strength
Publikováno v:
Optical Engineering. 39:2413
This paper presents an automatic map-based road detection algorithm for spaceborne synthetic aperture radar (SAR) images. Our goal is to find roads in a SAR image with subpixel accuracy with the help of a digital map. There are location errors betwee