Classification of Remotely Sensed Images

摘要: Remotely sensed images are an indispensable tool to researchers in disciplines such as cartography, forestry and geology which mapping by satellite or aircraft is often a far more acurate, efficient cost-effective method than conventional survey. Most users of remote sensing data now familiar with using photographic prepared standard prescriptions others relate colours grey tones what actually exists on the ground. This book aimed at discipline-oriented user who wishes move away from these traditional interpretation methods towards interactive analysis systems. Such systems permit classification digital ways that enable locations quantitative information specific themes be extracted portrayed. The empasis upon integration new techniques into existing discipline skills: not expected become 'computer operator'. covers fundamental theory image classification, illustrates it practical examples form structured outline total research project. It therefore essential reference manual 'sit elbow' working processing system for remotely data.