GitHub

Iris Flowers Classification with k-Nearest Neighbors

This repository contains a Python package that implements the k-Nearest Neighbors (k-NN) algorithm for classifying Iris flowers into three species: setosa, versicolor, and virginica. The package uses ...
IEEE

An Ensemble Learning Approach for Land Use/Land Cover Classification of Arid Regions for Climate Simulation: A Case Study of Xinjiang, Northwest China

Abstract: Accurate classifications of land use/land cover (LULC) in arid regions are vital for analyzing changes in climate. We propose an ensemble learning approach for improving LULC classification ...
Frontiers

A new framework with convoluted oscillatory neural network for efficient object-based land use and land cover classification on remote sensing images

School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu Rigorous urbanization leads to unprecedented climate change. Pune area in India has witnessed recent ...
GitHub

MeViT: A Medium-Resolution Vision Transformer for Semantic Segmentation on Landsat Satellite Imagery in Thailand

Semantic segmentation is a crucial task in remote sensing, focused on classifying every pixel within an image for various land use and land cover (LULC) applications. This project introduces MeViT ...
IEEE

Lessons from applying SRGAN on Sentinel-2 images for LULC classification

Abstract: Satellite images are commonly used to monitor land use land cover (LULC) changes. Unfortunately, publicly available images often lack the resolution required for detailed urban studies. In ...
Frontiers

Spatiotemporal analysis and mapping of LULC changes and thermal environment variations in Al Khobar, Saudi Arabia using remote sensing techniques

Introduction: This study investigates the relationship between land use/land cover (LULC) changes and land surface temperature (LST) dynamics in Al-Khobar, Saudi Arabia, a rapidly urbanizing desert ...