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A Multi-Dimensional Deep Siamese Network for Land Cover Change Detection in Bi-Temporal Hyperspectral Imagery

Author

Listed:
  • Seyd Teymoor Seydi

    (School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1439957131, Iran)

  • Reza Shah-Hosseini

    (School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1439957131, Iran)

  • Meisam Amani

    (Wood Environment & Infrastructure Solutions, Ottawa, ON K2E 7K3, Canada)

Abstract

In this study, an automatic Change Detection (CD) framework based on a multi-dimensional deep Siamese network was proposed for CD in bi-temporal hyperspectral imagery. The proposed method has two main steps: (1) automatic generation of training samples using the Otsu algorithm and the Dynamic Time Wrapping (DTW) predictor, and (2) binary CD using a multidimensional multi-dimensional Convolution Neural Network (CNN). Two bi-temporal hyperspectral datasets of the Hyperion sensor with a variety of land cover classes were used to evaluate the performance of the proposed method. The results were also compared to reference data and two state-of-the-art hyperspectral change detection (HCD) algorithms. It was observed that the proposed method relatively had higher accuracy and lower False Alarm (FA) rate, where the average Overall Accuracy (OA) and Kappa Coefficient (KC) were more than 96% and 0.90, respectively, and the average FA rate was lower than 5%.

Suggested Citation

  • Seyd Teymoor Seydi & Reza Shah-Hosseini & Meisam Amani, 2022. "A Multi-Dimensional Deep Siamese Network for Land Cover Change Detection in Bi-Temporal Hyperspectral Imagery," Sustainability, MDPI, vol. 14(19), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12597-:d:932898
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    References listed on IDEAS

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    1. Jongsung Kim & Myungjin Lee & Heechan Han & Donghyun Kim & Yunghye Bae & Hung Soo Kim, 2022. "Case Study: Development of the CNN Model Considering Teleconnection for Spatial Downscaling of Precipitation in a Climate Change Scenario," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    2. Stefan Tsokov & Milena Lazarova & Adelina Aleksieva-Petrova, 2022. "A Hybrid Spatiotemporal Deep Model Based on CNN and LSTM for Air Pollution Prediction," Sustainability, MDPI, vol. 14(9), pages 1-38, April.
    3. Auwalu Faisal Koko & Wu Yue & Ghali Abdullahi Abubakar & Roknisadeh Hamed & Akram Ahmed Noman Alabsi, 2020. "Monitoring and Predicting Spatio-Temporal Land Use/Land Cover Changes in Zaria City, Nigeria, through an Integrated Cellular Automata and Markov Chain Model (CA-Markov)," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    4. Mekonnen H. Daba & Songcai You, 2022. "Quantitatively Assessing the Future Land-Use/Land-Cover Changes and Their Driving Factors in the Upper Stream of the Awash River Based on the CA–Markov Model and Their Implications for Water Resources," Sustainability, MDPI, vol. 14(3), pages 1-29, January.
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