Abstract

Abstract. Palm trees play an important role as they are widely used in a variety of products including oil and bio-fuel. Increasing demand and growing cultivation have created a necessity in planned farming and the monitoring different aspects like inventory keeping, health, size etc. The large cultivation regions of palm trees motivate the use of remote sensing to produce such data. This study proposes an object detection methodology on the aerial images, using shape feature for detecting and counting palm trees, which can support an inventory. The study uses circular autocorrelation of the polar shape matrix representation of an image, as the shape feature, and the linear support vector machine to standardize and reduce dimensions of the feature. Finally, the study uses local maximum detection algorithm on the spatial distribution of standardized feature to detect palm trees. The method was applied to 8 images chosen from different tough scenarios and it performed on average with an accuracy of 84% and 76.1%, despite being subjected to different challenging conditions in the chosen test images.

Highlights

  • Remote sensing is widely used in different sectors of vegetation monitoring like forestry, agriculture, biophysical studies etc

  • This paper proposes a generic shape feature, the circular autocorrelation of the polar shape matrix representation of the image and uses this feature to detect palm trees

  • Circular autocorrelation of polar model shape matrix (CAPS) of palm training samples show lower values at leaves compared to the model, as repeating scenarios are not exactly same in the real world as in the model

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Summary

Introduction

Remote sensing is widely used in different sectors of vegetation monitoring like forestry, agriculture, biophysical studies etc. It includes identifying, classifying, localizing, measuring sizes, heights, carbon yields etc., which describe the characteristics and the socio-economic and environmental importance of different vegetation and ease the associated institutions in planning and monitoring. Palm trees are used to produce a variety of products like vegetable oil, bio-fuel, papers, furniture, decorations, fodder for cattle etc. The global production of palm oil is increasing every year along with its demand. According to forecast, in Indonesia and Malaysia alone which represent over 90% of palm oil produced globally, the production will increase by 30% by the year 2020 (Economy et al, 2014).

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