This study focuses on optimizing feature extraction methods to enhance satellite image analysis, a critical task in various fields such as remote sensing, environmental monitoring, and urban planning. The primary objective is to improve the accuracy and efficiency of feature extraction techniques tailored for satellite imagery. Through a comprehensive literature review and experimentation, this research evaluates existing methods and proposes enhancements to address their limitations. The study employs a diverse dataset representative of real-world satellite imagery scenarios and evaluates the performance of the optimized feature extraction methods using established metrics. Key findings include significant improvements in feature extraction accuracy and computational efficiency, demonstrating the efficacy of the proposed approach. This research contributes to advancing the state-of-the-art in satellite image analysis and provides valuable insights for researchers and practitioners in related domains.