Results 41 to 50 of about 2,144 (204)
Evaluating pixel-based vs. object-based image analysis approaches for lithological discrimination using VNIR data of WorldView-3. [PDF]
, 2021 The object-based against pixel-based image analysis approaches were assessed for lithological mapping in a geologically complex terrain using Visible Near Infrared (VNIR) bands of WorldView-3 (WV-3) satellite imagery.
Homayouni, Saeid +3 more
core +1 more source
Geomatics, Natural Hazards & Risk, 2016 Object-based image analysis (OBIA) is an emerging technique for analyzing remote sensing image based on object properties including spectral, geometry, contextual and texture information.
Jing Sun, Tuong Thuy Vu
doaj +1 more source
OBJECTS GROUPING FOR SEGMENTATION OF ROADS NETWORK IN HIGH RESOLUTION IMAGES OF URBAN AREAS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Updated road databases are required for many purposes such as urban planning, disaster management, car navigation, route planning, traffic management and emergency handling.
M. Maboudi +3 more
doaj +1 more source
Applied Sciences, 2022 Refugee-dwelling footprints derived from satellite imagery are beneficial for humanitarian operations. Recently, deep learning approaches have attracted much attention in this domain.
Yunya Gao +4 more
doaj +1 more source
Canadian Journal of Remote Sensing, 2023 The purpose of this research was to distinguish and estimate natural forest areas at Paraná, Brazil. Forest plantations (Silviculture) and natural forests have high annual vegetative vigor, as well as agricultural areas in the periods of agricultural harvests, which can bring classification errors between these classes of Land Use and Land Cover (LULC),
Clovis Cechim Junior +2 more
openaire +2 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014 The main objective of this research was to establish a semiautomated object-based image analysis (OBIA) methodology for locating landslides. We have detected and delineated landslides within a study area in north-western Iran using normalized difference ...
Thomas Blaschke +2 more
doaj +1 more source
Identifikasi Kawasan Pertambangan Timah Menggunakan Data Satelit Sentinel – 1 dengan Metode Object Based Image Analysis (OBIA) [PDF]
Jurnal Ilmu Lingkungan, 2019 Berdasarkan data Pendapatan Nasional Indonesia 2017, sektor pertambangan dan penggalian mempunyai peran penting bagi Indonesia. Sektor ini menyumbangkan 7,57% pada produk domestik bruto Indonesia di tahun 2017 . Salah satu sektor pertambangan yang potensial di Indonesia adalah pertambangan mineral Timah di Pulau Bangka dan Belitung.
Udhi C Nugroho +2 more
openaire +2 more sources
Geographic object based image analysis [PDF]
, 2009 The field of earth observation (EO) has seen tremendous development over recent time owing to the increasing quality of the sensor technology and the increasing number of operational satellites launched by several space organizations and companies around
Marpu, Prashanth Reddy
core +1 more source
The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images
Big Earth Data, 2022 Landslide detection is a hot topic in the remote sensing community, particularly with the current rapid growth in volume (and variety) of Earth observation data and the substantial progress of computer vision.
Omid Ghorbanzadeh +2 more
doaj +1 more source
Remote Sensing, 2023 The composition and structure of mountain vegetation are complex and changeable, and thus urgently require the integration of Object-Based Image Analysis (OBIA) and Deep Convolutional Neural Networks (DCNNs). However, while integration technology studies
Shiou Li +7 more
doaj +1 more source