The huge amount of active research has been focused on developing the remote sensing based applications for providing the object classification procedure focusing on the energy reflected on the earth surface, the remote sensor collects data and its management with analysis of all kinds of spatial information with enhanced accuracy. This paper proposes the Real-time Image processing method to implement the object classification and detection (RTIP-ODC) technique for remote sensing images. The enhanced feature extraction procedure likes preprocessing, object detection, classification and validation will improve the efficiency of the proposed technique. The classification method facilitates the user to preserve the process of object classification and enhances the accurate object detection. The proposed technique has obtained the enhanced performance to ensure the efficiency of the object classification compared to the related techniques.

大量的积极研究集中在开发基于遥感的应用程序，以提供关注于地球表面反射的能量的对象分类程序，该遥感器通过对各种空间信息的分析来收集数据并对其进行管理，从而增强了该功能。准确性。本文提出了一种实时图像处理方法，以实现遥感图像的目标分类和检测（RTIP-ODC）技术。增强的特征提取过程（如预处理，对象检测，分类和验证）将提高所提出技术的效率。分类方法方便用户保存对象分类的过程，提高了对象检测的准确性。