The field of remote sensing image analysis is constantly evolving. However, processing high-resolution images and comprehending the black boxes in land surface analysis and object recognition poses significant challenges. The need for a deeper exploration of these areas has become more pressing due to climate change, global security concerns, and border monitoring issues. With the surge in demand for satellite image analysis and advancements in deep learning techniques and remote sensing technologies, it has become necessary to have a comprehensive guide to navigate these complexities. Deep Cognitive Modelling in Remote Sensing Image Processing is a groundbreaking solution to these challenges. This book delves into the depths of deep learning techniques and cognitive modeling to offer insights and solutions for optimizing existing models while simplifying the processing of high-resolution remote sensing images. By focusing on deep cognitive modeling, the book provides a framework for understanding and addressing the black boxes in land surface analysis and object recognition, empowering researchers and professionals to make meaningful advancements in the field.
