Browse > Article
http://dx.doi.org/10.7780/kjrs.2014.30.4.11

Detection method of objects with a special pattern in satellite images using Histogram Of Gradients (HOG) feature and Support Vector Machine (SVM) classifier  

Lim, Ingeun (Agency for Defense Development)
Kim, Suhwan (Agency for Defense Development)
Choi, Jonggook (Agency for Defense Development)
Publication Information
Korean Journal of Remote Sensing / v.30, no.4, 2014 , pp. 537-546 More about this Journal
Abstract
In this paper, we propose a method to detect interesting objects in inaccessible areas using high resolution satellite images. We define the interesting objects as a set of objects which have conceptually similar image patterns, not having exact sizes or shapes. In this paper, we developed a learning and classifier of Support Vector Machine (SVM) that extracts characteristic data for inputted images using Histogram of Gradients (HOG) feature and detects similar objects in other images using the characteristic data. As automatic search of interesting objects in our proposed method, we identify that our method provides reduced time and efforts for manual searching similar objects.
Keywords
HOG feature; SVM; Object Detection; Pattern;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Burges, C.J.C., 1998. A tutorial on support vector machines for pattern recognition, Data mining and knowledge discovery, 2: 121-167.   DOI   ScienceOn
2 Dalal, N. and B. Triggs, 2005. Histograms of oriented gradients for human detection, CVPR, 1: 886-893.
3 Lowe, D.G., 2004. Distinctive image features from scale-invariant keypoints, IJCV, 60(2): 91-110.   DOI   ScienceOn
4 Marques, O., 2011. Practical image and video processing using MATLAB, Wiley.
5 Mikolajczyk, K. and C. Schmid, 2005. A performance evalutation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(10): 1615-1630.   DOI   ScienceOn
6 Ozuysal M., M. Calonder, V. Lepetit, and P. Fua, 2010. Fast keypoint recognition using random ferns, PAMI, 448-461.
7 Pang, Y., Y. Yuan, X. Li, and J. Pan, 2011. Efficient HOG human detection, Signal Processing, 91(4): 773-781.   DOI
8 Scholkopf, B. and A.J. Smola, 2002. Learning with kernels. MIT Press.
9 Viola, P. and M.J. Jones, 2001. Rapid object detection using a boosted cascade of simple features, Proc. of CVPR, Vol.1, pp.511-518.
10 Byun, Y.G., Y.K. Han, and T.B. Chae, 2011. Road Extraction from High Resolution Satellite Image Using Object-based Road Model, Korean Journal of Remote Sensing, 27(4): 421-433 (in Korean with English abstract).   과학기술학회마을   DOI
11 Lee, J.Y., and B.S. Kim, 2008. Automated Vinyl Green House Identification Method Using Spatial Pattern in High Spatial Resolution Imagery, Korean Journal of Remote Sensing, 24(2): 117-124 (in Korean with English abstract).   과학기술학회마을   DOI