Study of Image Segmentation and Classification Methods for Climate Data Analysis

Artificial intelligence (AI) has revolutionized information technology and has shaped the way we live. AI is a computational model that allows computer to learn out from data and approximate solutions for nonlinear, multi-input functions and doesn't depend upon physical models. Due to their flexibility and robustness, AI has been widely applied in large-scale fields ranging from robotics to airplane flight control. This section of book aims to discuss the advances in all aspect of AI, including machine/deep learning (ML-DL), data mining (DM), computer vision (CV), multi-agent systems (MS), evolutionary computation (EC), and fuzzy logic (FL) methods in image segmentation and classification. This chapter focuses specifically on various applications of AI related to mapping, classification, and segmentation of aerial images, including non-classification-/classification-based methods. Applications of AI are also discussed and showed the importance of AI in performing segmentation and outline extraction on aerial imagery. AI is performing very well on the understanding of climate data analysis. Brief introductions of AI with their adaptability for accurate segmentation, classification methods, and outline extraction are also interpreted. Furthermore, we illustrated how the AI tool will help the decision-makers, and developers, in achieving better performance with less computational cost.