Building detection from satellite multispectral imagery data is being a fundamental but a
challenging problem mainly because it requires correct recovery of building footprints from …

Automatic building extraction from satellite images, an open research topic in remote
sensing, continues to represent a challenge and has received substantial attention for …

Automatic detection and reconstruction of buildings have become essential in many remote
sensing and computer vision applications. In this paper, the capability of Convolutional …

Automatic illegal building detection from satellite imagery is a specific and important
problem for both research community and government agencies, which has not been …

Building footprint information is vital for 3D building modeling. Traditionally, in remote
sensing, building footprints are extracted and delineated from aerial imagery and/or LiDAR …

Данная работа посвящена вопросу сопоставления выделенных областей на разных
аэрофотоснимках с заданным ориентированием. При этом в рамках статьи считается …

Building detection in orthophotos is crucial for various applications, such as urban planning
and real-estate management. In order to realize accurate and fast building detection, a non …

Building extraction has been a challenging task due to complex structures and features of
various land use with matching spectral and spatial attributes in a satellite data. We …

Uzaktan algılama teknolojileri ile elde edilen verilerden binaların tespit edilmesi çalışmaları
günümüzün önemli araştırma konularından biridir. Nüfus hareketlerinden, şehir gelişimine …

Community detection arises in a variety of fields ranging from mathematics, physics, biology,
computer science, and the social sciences, among many others. It differs from the classical …