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 …

Remote sensing imagery needs to be converted into tangible information which can be
utilised in conjunction with other data sets, often within widely used Geographic Information …

Abstract Information extracted from aerial photographs has found applications in a wide
range of areas including urban planning, crop and forest management, disaster relief, and …

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 …

Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …

The development of tools for the generation of 3D city models started almost two decades
ago. From the beginning, fully automatic reconstruction systems were envisioned to fulfil the …

Gardens remain the least studied and least understood habitat in urban areas. With the
recent exception of the URGENT funded urban domestic gardens project in the UK, there is …

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

In this study, we propose a novel methodology for automated detection of buildings from
single very-high-resolution (VHR) multispectral images. The methodology uses the principal …

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 …