الصفحة 1
الصفحة 1
Microwave Dielectric Behaviour of Wet Soils
This book, aimed for agriculture and soil physicists and those working in the areas of remote sensing, deals with the physical and dielectric properties of soils, methods of soil, dielectric measurements using microwaves and remote sensing techniques. Some of the results on soil moisture measurements, theoretical models of soil moisture data and the recently used synthetic aperture radar techniques for the purpose of remote sensing and their interpretation of soil moistures are also discussed. The course contents are developed and updated with the help of the latest literature available which will help bridge the existing need of scientists in the area.
Deep learning and computer vision in remote sensing-II
Computer vision (CV) have seen a massive rise in popularity in the remote sensing field over the last few years. This success is mostly due to the effectiveness of deep learning (DL) algorithms. However, remote sensing data acquisition and annotation, as well as information extraction from massive remote sensing data, are still challenging. This reprint collected novel developments in the field of deep learning and computer vision methods for remote sensing. Papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems, have been published. With practical examples and real-world case studies, this reprint provides a valuable resource for researchers, professionals, and students seeking to harness the power of deep learning in the field of remote sensing.
