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Analysis of Water Body Segmentation from Landsat Imagery using Deep Neural Network

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Abstract

The water body segmentation is precious for assessing its role in ecosystem services with the circumstances of climate change and global warming. The accurate water body segmentation from Landsat imagery is great implication for water resource planning and socioeconomic development. Deep Neural Network has capability to extract the useful features of the water body of Landsat imagery and classify as water body and non-water body. In this paper, the water body segmentation is carried out by creating and training a deep learning network called SegNet which is derived from VGG16. Pixel Labeled Data of the input dataset are used for training the deep hidden units and the learned features are used to extract the water body in input test images. The Landsat images are used to implement the proposed and the existing methods. The performance measures such as accuracy, mean Boundary F1 Score (BF) score and IoU (Intersection Over Union) are used to compare the proposed method with the existing methods. The proposed method shows improved performance than the existing methods with the average accuracy of 96.7%. Also, the performance of the proposed method is examined with different number of iterations and different sets of training samples. The performance analysis results are good reference for application developers of deep neural network.

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Fig. 1

(Source: https://www.cs.toronto.edu/~frossard/post/vgg16/) [22]

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(Source: Vijay Badrinarayanan [19])

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Authors and Affiliations

  1. Department of ECE, P.S.R. Engineering College, Sivakasi, Tamil Nadu, 626140, India

    S. Thayammal

  2. Coimbatore, Tamil Nadu, 641 038, India

    R. Jayaraghavi

  3. Department of CSE, P.S.R. Engineering College, Sivakasi, Tamil Nadu, 626140, India

    S. Priyadarsini

  4. Department of ECE, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, 626 005, India

    D. Selvathi

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  1. S. Thayammal
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  2. R. Jayaraghavi
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  4. D. Selvathi
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Thayammal, S., Jayaraghavi, R., Priyadarsini, S. et al. Analysis of Water Body Segmentation from Landsat Imagery using Deep Neural Network. Wireless Pers Commun 123, 1265–1282 (2022). https://doi.org/10.1007/s11277-021-09178-5

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