Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …

As a significant role for traffic management, city planning, road monitoring, GPS navigation
and map updating, the technology of road extraction from a remote sensing (RS) image has …

In this article, we deal with the problem of object detection on remote sensing images.
Previous researchers have developed numerous deep convolutional neural network (CNN) …

Road extraction from remote sensing imagery is a popular and frontier research focus, since
road information plays an essential role in application fields, such as urban management …

Object detection that focuses on locating objects of interest and categorizing them has long
played a critical role in the development of remote sensing imagery. Following significant …

Recognizing the importance of road infrastructure to promote human health and economic
development, actors around the globe are regularly investing in both new roads and road …

Unlike single geospatial objects extraction from high-resolution remote sensing images, the
task of road extraction faces more challenges, including its narrowness, sparsity, diversity …

Digital maps of road networks are a vital part of digital cities and intelligent transportation. In
this paper, we provide a comprehensive review on road extraction based on various remote …

Updated road network as a crucial part of the transportation database plays an important
role in various applications. Thus, increasing the automation of the road extraction …

Road networks play a significant role in modern city management. It is necessary to
continually extract current road structure, as it changes rapidly with the development of the …