Segmentation of real-world remote sensing images is challenging because of the large size
of those data, particularly for very high resolution imagery. However, a lot of high-level …

A growing number of routine and research activities, in a wide variety of fields, have the
counting of certain types of objects (cells, people, insects, etc.) as one of their main …

This study utilised very high-resolution (VHR) imagery to monitor and evaluate the impact of
humanitarian demining activities in a peri-urban environment in Afghanistan. Identifying …

This study proposes a new landslide detection technique that is semi-automated and based
on a saliency enhancement approach. Unlike most of the landslide detection techniques, the …

Weeds can impact many ecosystems, including natural, urban and agricultural
environments. This paper discusses core weed biosecurity program concepts and …

Counting objects in images is a very time-consuming task for humans that yields to errors
caused by repetitiveness and boredom. In this paper, we present a novel object counting …

Existing class-agnostic counting models typically rely on a single type of prompt, eg, box
annotations. This paper aims to establish a comprehensive prompt-based counting …

Understanding how people occupy open spaces is important for research in support of
population modeling, policy, national security, emergency response, and sustainability. For …

Objective Successful control of an emergency animal disease outbreak requires the timely
and accurate identification of properties of interest. The identification of commercial …

Catastrophic events (such as natural disasters) bring more damages to urban area than
rural places because of high density of human population, properties and infrastructures …