This case study compares supervised pixel-based and object-based image classification approaches applied to very high spatial resolution RGB imagery acquired by an unmanned aerial vehicle (UAV) for ...

Two classification methods available in ArcGIS Pro, Maximum Likelihood (ML) and Support Vector Machine (SVM), were applied using both pixel-based and object-based classification techniques. Four land ...

The study is to explore the effects of development interventions on Rangeland and implications case study of Burder landscape, by assessing the LULC form 1986-2022. The findings are used to examine ...

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...

Environmental images often contain mixed elements, such as forests bordering water bodies or urban areas with vegetation, which complicates the classification task. In this paper, we propose a novel ...

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...

Our image-based subtype classification on the basis of deep learning models is a novel tool to refine risk stratification in cancers. The image subtypes detected for glioblastoma represent a promising ...

How can your phone determine what an object is just by taking a photo of it? How do social media websites automatically tag people in photos? This is accomplished through AI-powered image recognition ...