One of the most challenging research subjects in remote sensing is feature extraction, such
as road features, from remote sensing images. Such an extraction influences multiple …

Road identification from high-precision images is important to programmed mapping, urban
planning, and updating geographic information system (GIS) databases. Manual …

Road information plays a fundamental role in application fields such as map updating, traffic
management, and road monitoring. Extracting road features from remote sensing images is …

Deep learning has achieved great success in recent years, among which the convolutional
neural network (CNN) method is outstanding in image segmentation and image recognition …

ABSTRACT A novel hybrid technique for road extraction from UAV imagery is presented in
this paper. The suggested analysis begins with image segmentation via Trainable Weka …

Object recognition on the satellite images is one of the most relevant and popular topics in
the problem of pattern recognition. This was facilitated by many factors, such as a high …

The study presents a road pavement crack detection system by extracting picture features
then classifying them based on image features. The applied feature extraction method is the …

Big geospatial datasets created by large infrastructure projects require massive computing
resources to process. Feature extraction is a process used to reduce the initial set of raw …

One of the significant objects among urban features is road network. Automatic updating
road network from high-resolution remote sensing imagery (HRSI) is a major application in …

Nowadays, the road network documentation is required for many applications, it is essential
for the development of economy and its growth brings benefits in people's life. Traditionally …