Building extraction from RGB VHR images is an important and popular topic for mapping,
disaster emergency responding, and city management. The automation of most …

This paper presents a novel application of machine learning techniques to the automatic
detection of building rooftops in satellite images. The image is first segmented into …

The development of high-resolution satellite imaging sensors has enhanced the collection of
remotely sensed data and offers a cost-effective way to obtain information over large areas …

Extended abstract Introduction Over the past two centuries, in many countries in the world,
population density has dramatically grown in urban areas, resulting in cities to witness rising …

Automatic separation of buildings from built-up area has attracted considerable interest in
computer vision and digital photogrammetry field. While many efforts have been made for …

In this study, we consider an intelligent placement of electrical materials such as luminaire,
oven, dishwasher, washing machine, refrigerator, TV-phone socket, etc. for the appropriate …

Applying Fully Convolutional Architectures for the Semantic Segmentation of UAV, Airborn,
and Satellite Remote Sensing Imagery. Rio de Janeiro, 2020. 78p. Dissertação de mestrado …

Roads, buildings and bridges are the main structural features obtained from satellite images.
Detection of clouds and shadows supports the extraction of these features. Different …

Extracting Building features from satellite imagery is a vital research area in digital remote
sensing field. Building detection & extraction is one of the complex and challenging task in …