Scholarlink

The research introduces a novel approach for finding surface water and detecting its changes through a modified Hue-Saturation-Value (HSV) color thresholding technique. Specifically, this methodology is applied to Landsat 8–9 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) Level 1 satellite data sourced from the United States Geological Survey (USGS) Earth Explore repository. In this research work, the cross-correlation-based water bodies detection and color-based thresholding methodologies have been conducted to determine the content of surface water bodies. A systematic examination and comparison between HSV and Red–Green–Blue (RGB) color thresholding methodologies are conducted to ascertain the efficacy of water body identification in satellite-derived imagery. Furthermore, statistical analysis is employed to validate the superiority of the proposed approach over alternative methods. The computational effort is found to be less as compared to the RGB color thresholding method.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Surface Water Change Detection over Years Through Modified HSV-Based Color Thresholding

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Alwaaz Ahmad,
  • Sudhansu Kumar Mishra,
  • Rohit Kumar,
  • K. K. Senapati,
  • Sitanshu Shekhar Sahu

摘要

The research introduces a novel approach for finding surface water and detecting its changes through a modified Hue-Saturation-Value (HSV) color thresholding technique. Specifically, this methodology is applied to Landsat 8–9 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) Level 1 satellite data sourced from the United States Geological Survey (USGS) Earth Explore repository. In this research work, the cross-correlation-based water bodies detection and color-based thresholding methodologies have been conducted to determine the content of surface water bodies. A systematic examination and comparison between HSV and Red–Green–Blue (RGB) color thresholding methodologies are conducted to ascertain the efficacy of water body identification in satellite-derived imagery. Furthermore, statistical analysis is employed to validate the superiority of the proposed approach over alternative methods. The computational effort is found to be less as compared to the RGB color thresholding method.