Building detection from very high resolution (VHR) optical remote sensing images, which is
an essential but challenging task in remote sensing, has attracted increased attention in …

Significant advancements and progress made in recent computer vision research enable
more effective processing of various objects in high-resolution overhead imagery obtained …

In he past decade, object detection has achieved significant progress in natural images but
not in aerial images, due to the massive variations in the scale and orientation of objects …

Abstract 3D city generation is a desirable yet challenging task since humans are more
sensitive to structural distortions in urban environments. Additionally generating 3D cities is …

Building-change detection underpins many important applications, especially in the military
and crisis-management domains. Recent methods used for change detection have shifted …

Earth observation is a fundamental tool for monitoring the evolution of land use in specific
areas of interest. Observing and precisely defining change, in this context, requires both time …

RarePlanes is a unique open-source machine learning dataset that incorporates both real
and synthetically generated satellite imagery. The RarePlanes dataset specifically focuses …

Satellite imagery analytics have numerous human development and disaster response
applications, particularly when time series methods are involved. For example, quantifying …

Within the remote sensing domain, a diverse set of acquisition modalities exist, each with
their own unique strengths and weaknesses. Yet, most of the current literature and open …

An increasing availability of remote sensing data in the era of geo big-data makes producing
well-represented, reliable training data to be more challenging and requires an excessive …