DETECTING AND COUNTING COCONUT TREES IN PLEIADES SATELLITE IMAGERY USING HISTOGRAM OF ORIENTED GRADIENTS AND SUPPORT VECTOR MACHINE

Yudhi Prabowo, Kenlo Nishida Nasahara

Abstract

This paper describes the detection of coconut trees using very-high-resolution optical satellite imagery. The satellite imagery used in this study was a panchromatic band of Pleiades imagery with a spatial resolution of 0.5 metres. The authors proposed the use of a histogram of oriented gradients (HOG) algorithm as the feature extractor and a support vector machine (SVM) as the classifier for this detection. The main objective of this study is to find out the parameter combination for the HOG algorithm that could provide the best performance for coconut-tree detection. The study shows that the best parameter combination for the HOG algorithm is a configuration of 3 x 3 blocks, 9 orientation bins, and L2-norm block normalization. These parameters provide overall accuracy, precision and recall of approximately 80%, 73% and 87%, respectively.

Keywords

coconut trees; Pleiades imagery; tree detection; histogram of oriented gradient; support vector machine

Full Text:

PDF

References

B.Rangda M, Hanchate DB (2014) Animal Detection Using Histogram Oriented Gradient. Int J Recent Innov Trends Comput Commun 2:178–183

Baghdadi A, Latif SA (2015) Enhancement of Fast Pedestrian Detection Using HOG. Int J Ind Electron Electr Eng 3:18–22

Bernales AMJ, Samonte CO, Antolihao JAF, et al (2016) Integration of Template Matching and SVM Technique for Coconut Tree Detection. In: 37th Asian Conference of Remote Sensing. Asian Association on Remote Sensing

Blaschke T (2010) Object based image analysis for remote sensing. ISPRS J Photogramm Remote Sens 65:2–16. doi: 10.1016/j.isprsjprs.2009.06.004

Corvee E, Bremond F (2010) Body parts detection for people tracking using trees of Histogram of Oriented Gradient descriptors. Proc - IEEE Int Conf Adv Video Signal Based Surveillance, AVSS 2010 469–475. doi: 10.1109/AVSS.2010.51

Dadi HS, Mohan Pillutla GK (2016) Improved Face Recognition Rate Using HOG Features and SVM Classifier. IOSR J Electron Commun Eng 11:34–44. doi: 10.9790/2834-1104013444

Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. Proc - 2005 IEEE Comput Soc Conf Comput Vis Pattern Recognition, CVPR 2005 I:886–893. doi: 10.1109/CVPR.2005.177

Dasgupta S (2014) Report of the FAO High Level Expert Consultation on Coconut Sector Development in Asia and the Pasific. Bangkok, Thailand

Kim S, Cho K (2014) Fast calculation of histogram of oriented gradient feature by removing redundancy in overlapping block. J Inf Sci Eng 30:1719–1731

Kobayashi T, Hidaka A, Kurita T (2008) Selection of histograms of oriented gradients features for pedestrian detection. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics) 4985 LNCS:598–607. doi: 10.1007/978-3-540-69162-4_62

Li W, Fu H, Yu L, Cracknell A (2017) Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images. Remote Sens 9:. doi: 10.3390/rs9010022

Liasis G, Stavrou S (2016) Satellite images analysis for shadow detection and building height estimation. ISPRS J Photogramm Remote Sens 119:437–450. doi: 10.1016/j.isprsjprs.2016.07.006

Neubeck A, Van Gool L (2006) Efficient non-maximum suppression. Proc - Int Conf Pattern Recognit 3:850–855. doi: 10.1109/ICPR.2006.479

Savakis A, Sharma R, Kumar M (2014) Efficient Eye Detection using HOG-PCA Descriptor. 9027:1–8. doi: 10.1117/12.2036824

Shafri HZM, Hamdan N, Saripan MI (2011) Semi-automatic detection and counting of oil palm trees from high spatial resolution airborne imagery. Int J Remote Sens 32:2095–2115. doi: 10.1080/01431161003662928

Shahi K, Shafri HZM, Taherzadeh E, et al (2015) A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery. Egypt J Remote Sens Sp Sci 18:27–33. doi: 10.1016/j.ejrs.2014.12.003

Shruthi G (2012) Automatic Detection and Classification of Apple-A Survey. In: Procedding of International Conference on Current Trends in Engineering, Science and Technology

Wójcikowski M (2016) Histogram of oriented gradients with cell average brightness for human detection. Metrol Meas Syst 23:27–36. doi: 10.1515/mms-2016-0012

Yan G, Yu M, Yu Y, Fan L (2016) Real-time vehicle detection using histograms of oriented gradients and AdaBoost classification. Optik (Stuttg) 127:7941–7951. doi: 10.1016/j.ijleo.2016.05.092

Žemgulys J, Raudonis V, Maskeliunas R, Damaševičius R (2018) Recognition of Basketball Referee Signals from Videos Using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM). Procedia Comput Sci 130:953–960. doi: 10.1016/j.procs.2018.04.095

Refbacks

  • There are currently no refbacks.