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International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.8, No.11, Nov. 2016

Detection of Rows in Agricultural Crop Images Acquired by Remote Sensing from a UAV

Full Text (PDF, 1172KB), PP.25-31


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Author(s)

Ramesh K N, Chandrika N, Omkar S N, M B Meenavathi, Rekha V

Index Terms

Row Crops;Unmanned Aerial Vehicle;KMeans;UAV Remote Sensing; Mathematical morphology

Abstract

Detection of rows in crops planted as rows is fundamental to site specific management of agricultural farms. Unmanned Aerial Vehicles are increasingly being used for agriculture applications. Images acquired using Low altitude remote sensing is analysed. In this paper we propose the detection of rows in an open field tomato crop by analyzing images acquired using remote sensing from an Unmanned Aerial Vehicle. The Unmanned Aerial Vehicle used is a quadcopter fitted with an optical sensor. The optical sensor used is a vision spectrum camera. Spectral-spatial methods are applied in processing the images. K-Means clustering is used for spectral clustering. Clustering result is further improved by using spatial methods. Mathematical morphology and geometric shape operations of Shape Index and Density Index are used for spatial segmentation. Six images acquired at different altitudes are analysed to validate the robustness of the proposed method. Performance of row detection is analysed using confusion matrix. The results are comparable for the diverse image sets analyzed. 

Cite This Paper

Ramesh K N, Chandrika N, Omkar S N, M B Meenavathi, Rekha V,"Detection of Rows in Agricultural Crop Images Acquired by Remote Sensing from a UAV", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.8, No.11, pp.25-31, 2016.DOI: 10.5815/ijigsp.2016.11.04

Reference

[1]Zhang, Chunhua, and John M. Kovacs. "The application of small unmanned aerial systems for precision agriculture: a review." Precision agriculture 13, no. 6 (2012): 693-712. 

[2]Torres-Sánchez, J., F. López-Granados, and J. M. Peña. "An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops." Computers and Electronics in Agriculture 114 (2015): 43-52.

[3]Puletti, Nicola, Rita Perria, and Paolo Storchi. "Unsupervised classification of very high remotely sensed images for grapevine rows detection."European Journal of Remote Sensing 47 (2014): 45-54.

[4]Comba, Lorenzo, Paolo Gay, Jacopo Primicerio, and Davide Ricauda Aimonino. "Vineyard detection from unmanned aerial systems images."Computers and Electronics in Agriculture 114 (2015): 78-87. 

[5]Puletti, Nicola, Rita Perria, and Paolo Storchi. "Unsupervised classification of very high remotely sensed images for grapevine rows detection."European Journal of Remote Sensing 47 (2014): 45-54

[6]Berni, J. A. J., P. J. Zarco-Tejada, L. Suárez, V. González-Dugo, and E. Fereres. "Remote sensing of vegetation from UAV platforms using lightweight multispectral and thermal imaging sensors." Int. Arch. Photogramm. Remote Sens. Spatial Inform. Sci 38, no. 6 (2009). 

[7]Senthilnath, J., Akanksha Dokania, Manasa Kandukuri, K. N. Ramesh, Gautham Anand, and S. N. Omkar. "Detection of tomatoes using spectral-spatial methods in remotely sensed RGB images captured by UAV."Biosystems Engineering (2016).

[8]Malek, Salim, Yakoub Bazi, Naif Alajlan, Haikel AlHichri, and Farid Melgani. "Efficient framework for palm tree detection in UAV images." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7, no. 12 (2014): 4692-4703. 

[9]Ramesh, K. N., A. Sreenivasa Murthy, J. Senthilnath, and S. N. Omkar. "Automatic detection of powerlines in UAV remote sensed images." In 2015 International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), pp. 17-21. IEEE, 2015.

[10]Sagar, B. S. D, "Mathematical morphology in geomorphology and GISci". CRC Press, 2013. 

[11]MacQueen, James. "Some methods for classification and analysis of multivariate observations." In Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, vol. 1, no. 14, pp. 281-297. 1967.

[12]Weiss, Sholom M. "On the performance of bisecting K-means and PDDP." (2001).

[13]Rollet, R., G. B. Benie, W. Li, S. Wang, and J. M. Boucher. "Image classification algorithm based on the RBF neural network and K-means."International Journal of Remote Sensing 19, no. 15 (1998): 3003-3009.

[14]Senthilnath, J., Shivesh Bajpai, S. N. Omkar, P. G. Diwakar, and V. Mani. "An approach to multi-temporal MODIS image analysis using image classification and segmentation." Advances in Space Research 50, no. 9 (2012): 1274-1287.

[15]Song, Mingjun, and Daniel Civco. "Road extraction using SVM and image segmentation." Photogrammetric Engineering & Remote Sensing 70, no. 12 (2004): 1365-1371.

[16]Omkar, S., V. Sivaranjani, J. Senthilnath, and Suman Mukherjee. "Dimensionality reduction and classification of hyperspectral data."International Journal of Aerospace Innovations 2, no. 3 (2010): 157-164.

[17]Suresh, Sundaram, Narasimhan Sundararajan, and Paramasivan Saratchandran. "Risk-sensitive loss functions for sparse multi-category classification problems." Information Sciences 178, no. 12 (2008): 2621-2638.

[18]Sankaran, Sindhuja, Lav R. Khot, Carlos Zúñiga Espinoza, Sanaz Jarolmasjed, Vidyasagar R. Sathuvalli, George J. Vandemark, Phillip N. Miklas et al. "Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review." European Journal of Agronomy 70 (2015): 112-123.

[19]Catal, Cagatay. "Performance evaluation metrics for software fault prediction studies." Acta Polytechnica Hungarica 9, no. 4 (2012): 193-206.

[20]Massart, Desire Luc, and A. J. Smeyers-verbeke. "PRACTICAL DATA HANDLING Visual Presentation of Data by Means of Box Plots." (2005).