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 …

Road extraction from high-resolution remote sensing images is a challenging but hot
research topic in the past decades. A large number of methods are invented to deal with this …

Extracting roads from satellite imagery is a promising approach to update the dynamic
changes of road networks efficiently and timely. However, it is challenging due to the …

Road network extraction from satellite images often produce fragmented road segments
leading to road maps unfit for real applications. Pixel-wise classification fails to predict …

Reliably extracting information from aerial imagery is a difficult problem with many practical
applications. One specific case of this problem is the task of automatically detecting roads …

Cracking can invite sudden failures of concrete structures. The objective of this research is to
develop an integrated model based on digital image processing in developing the numerical …

This paper presents an algorithm for segmenting and measuring retinal vessels, by growing
a “Ribbon of Twins” active contour model, which uses two pairs of contours to capture each …

Unmanned Aerial Vehicles (UAVs) have emerged as a rapid, low-cost and flexible
acquisition system that appears feasible for application in cadastral mapping: high …

This paper surveys the state of the art on automatic road extraction for GIS update from
aerial and satellite imagery. It presents a bibliography of nearly 250 references related to …

The quantity of small scale solar photovoltaic (PV) arrays in the United States has grown
rapidly in recent years. As a result, there is substantial interest in high quality information …