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Amplitude change detection, coherence change detection, colorized sub- aperture image: advanced SAR image analysis for urban and strategic monitoring

Student name: Ms Kripa Bhardwaj
Guide: Dr Adwitiya Sinha
Year of completion: 2024
Host Organisation: Suhora Technologies Pvt. Ltd.
Supervisor (Host Organisation): Ms Sarunisha Ramachadran
Abstract:

Remote sensing has revolutionized the way we observe and analyze the Earth's surface and atmosphere, offering a plethora of techniques and platforms, such as satellites and ground-based sensors, to capture electromagnetic radiation for detailed monitoring. Microwave remote sensing, particularly Synthetic Aperture Radar (SAR), stands out for its ability to penetrate through clouds and vegetation, providing high-resolution images under adverse weather conditions and during nighttime. SAR's advanced capabilities are critical for environmental monitoring, agriculture, and defense, allowing for the detection of subtle surface features and changes with exceptional accuracy.

This paper explores the applications of SAR in various fields, highlighting the importance of Amplitude Change Detection (ACD) and Coherence Change Detection (CCD) in identifying urban changes, deforestation, and ground deformations. These techniques, along with advanced methods like polarimetric SAR (PolSAR) and interferometric SAR (InSAR), enable detailed and accurate analysis of remote sensing data. Additionally, Colored Sub-Aperture Imaging (CSI) is examined for its role in enhancing SAR image interpretation by generating color-coded visualizations that provide a detailed examination of changes within a scene. CSI proves particularly beneficial in environmental monitoring, disaster management, and defense surveillance, significantly improving the accuracy and effectiveness of SAR data interpretation.

Keywords: Amplitude, Coherence, Sub-aperture, Synthetic Aperture Radar, Image.

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