Abstract— This paper presents the d

Abstract— This paper presents the detailed comparison of various image processing techniques for analyzing satellite images .The satellite images are large in size, acquired from long distances and are affected by noise and other environmental conditions .Hence it is necessary to process them so that they can be used by the researchers for analysis. Satellite images are widely used in many real time applications such as in agriculture land detection, navigation and in geographical information systems. In this paper, a review of some popular machine learning based image processing techniques is presented. Also a detailed comparison of various techniques is performed. Limitations in each image processing method are also described. In addition to reviewing of different methods, different metrics for performance evaluation in each of the image processing areas is studied.

Abstract— This paper presents the detailed comparison of various image processing techniques for analyzing satellite images . The satellite images are large in size, acquired from long distances and are affected by noise and other environmental conditions . Hence it is necessary to process them so that they can be used by the researchers for analysis. Satellite images are widely used in many real time applications such as in agriculture land detection, navigation and in geographical information systems. In this paper, a review of some popular machine learning based image processing techniques is presented. Also a detailed comparison of various techniques is performed. Limitations in each image processing method are also described. In addition to reviewing of different methods, different metrics for performance evaluation in each of the image processing areas is studied.

摘要-本文详细比较了分析卫星图像的各种图像处理技术，卫星图像尺寸大、分辨率高，长距离采集，受噪声和其他环境条件的影响，因此有必要对其进行处理，以供研究人员进行分析。卫星图像在农业土地探测、导航、地理信息系统等实时应用中有着广泛的应用。本文综述了几种常用的基于机器学习的图像处理技术。还对各种技术进行了详细的比较。还描述了各种图像处理方法的局限性。除了回顾不同的方法外，还研究了不同的图像处理领域的性能评估指标。<br>