Abstract
Maps of the land are developed by the surveyor, map developer according to survey of land. In such maps land boundaries are shown using property lines. So the area of land is also mentioned in the maps to the valuation of the property. Area calculation is one of the main work of the surveyor so it is important for him to calculate it fast. So we have implemented a system which can help surveyor, land map developers to calculate the area. We implemented this using image processing and the deep learning model mask region based convolutional neural network (RCNN). For better results, we implemented this at a basic level. At base level synthetic dataset consists of 2 dimensional images of different geometry shapes (triangle, quadrilateral, pentagon, hexagon, octagon) and training our model to detect the shape in the image and based on this further process of area calculation of that shape takes place. This solution is unique for land developers because it uses deep learning and image processing to obtain results.
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ACKNOWLEDGMENTS
It is my foremost duty to express deep sense of gratitude and respect to the director Dr. S.S. Kulkarni, Head of the institute, Rajarambapu Institute of Technology, Sangli, India, for his uplifting tendency and inspiring for taking up this research work successful. Also, for providing all necessary facilities to carry out the research work and whose encouraging part has been a perpetual source of information.
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Akram A. Pathan. Born March 3, 2000. Computer science engineer, Rajarambapu Institute of Technology (2017–2021), Sangli, India. I am interested in deep learning, machine learning and data science. Attended AU 2019 summer program of Artificial Intelligence in Asia University, Taiwan (2019). In this program, I learned and implemented different machine learning and artificial intelligence projects. As well as I used different tools which are required for machine learning like Microsoft Azure, Tableau, Anaconda, TensorFlow and performed projects on Google Colab. I have successfully developed chatbot for our college Facebook page. Attended various workshops which are useful for machine learning.
Nagaraj V. Dharwadkar obtained his BE in Computer Science and Engineering in 2000 from Karnataka University Dharwad, his MTech in Computer Science and Engineering in 2006 from VTU, Belgaum and PhD in Computer Science and Engineering in 2014 from National Institute of Technology, Warangal. He is a Professor and the Head of the Computer Science and Engineering Department at the Rajarambapu Institute of Technology, affiliated to Shivaji University, Islampur. He has 19 years of teaching experience at professional institutes across India and published 75 papers in various international journals and conferences. His area of research interest is multimedia security, image processing, data mining and machine learning.
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Pathan, A.A., Dharwadkar, N.V. Design and Implementation of Land Area Calculation for Maps Using Mask Region Based Convolutional Neural Networks Deep Neural Network. Pattern Recognit. Image Anal. 33, 54–65 (2023). https://doi.org/10.1134/S1054661822040095
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DOI: https://doi.org/10.1134/S1054661822040095