Remote sensing-based target detection process is applied to spot the targeted objects in
remote sensing images (RSIs). However, it is challenging to detect small-sized vehicles in …

Floods are the common and frequent type of major natural disasters, having a large-scale
economic impact on the country causing widespread damage, resulting in loss of life and …

Anomaly detection in pedestrian walkways is a vital research area that uses remote sensing,
which helps to optimize pedestrian traffic and enhance flow to improve pedestrian safety in …

The fusion of Internet of Things (IoT) and deep learning (DL) methods has proven valuable
in automating vehicle detection and classification tasks on remote sensing images (RSI) …

Remote sensing imagery involves capturing and examining details about the Earth's surface
from a distance, often using satellites, drones, or other aerial platforms. It offers useful data …

This article suggests a novel convolutional neural network (CNN) layering structure based
on the pyramidal-shaped CNN model in the state of the art of remote sensing images. The …

Remote sensing (RS) image processing has made significant progress in the past few years,
but it still faces some problems such as the difficulty in processing large-scale RS image …

Traffic monitoring through remote sensing images (RSI) is considered an important research
area in Intelligent Transportation Systems (ITSs). Vehicle counting systems must be simple …

With the development of the economy, many regions have experienced a slowdown in
economic growth. In order to promote the development of the electric vehicle (EV) industry …

In recent years, in urban traffic, vehicle gauge detection and early warning of abnormal
conditions have attracted more and more attention. At present, the method based on edge …