Results 31 to 40 of about 2,668 (204)
Remote Sensing, 2020 Image segmentation and geographic object-based image analysis (GEOBIA) were proposed around the turn of the century as a means to analyze high-spatial-resolution remote sensing images.
Brian Alan Johnson, Lei Ma
doaj +1 more source
Automated methods for image detection of cultural heritage: Overviews and perspectives
Archaeological Prospection, Volume 30, Issue 2, Page 153-169, April/June 2023., 2023 Abstract Remote sensing data covering large geographical areas can be easily accessed and are being acquired with greater frequency. The massive volume of data requires an automated image analysis system. By taking advantage of the increasing availability of data using computer vision, we can design specific systems to automate data analysis and ...
Ariele Câmara +3 more
wiley +1 more source
Permafrost and Periglacial Processes, Volume 34, Issue 1, Page 22-36, January/March 2023., 2023 Abstract Current climate change in the Arctic is unprecedented in the instrumental record, with profound consequences for the environment and landscape. In Arctic Sweden, aeolian sand dunes have been impacted by climatic changes since their initial formation after the retreat of the last glacial ice sheet.
Melanie Stammler +2 more
wiley +1 more source
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach [PDF]
, 2016 Nowadays, hyperspectral image classification widely copes with spatial information to improve accuracy. One of the most popular way to integrate such information is to extract hierarchical features from a multiscale segmentation.
Chapel, Laetitia +2 more
core +4 more sources
Scientific Programming, Volume 2023, Issue 1, 2023., 2023 Building extraction from high‐resolution aerial images is critical in geospatial applications such as telecommunications, dynamic urban monitoring, updating geographic databases, urban planning, disaster monitoring, and navigation. Automatic building extraction is a massive task because buildings in various places have varied spectral and geometric ...
Abderrahim Norelyaqine +3 more
wiley +1 more source
COMPARATIVE ASSESSMENT BETWEEN PER-PIXEL AND OBJECT-ORIENTED FOR MAPPING LAND COVER AND USE [PDF]
Engenharia Agrícola, 2017 : The traditional per-pixel classification methods consider only spectral information, and may be limited. Object-based classifiers, however, also consider shape and texture, firstly segmenting the image, and then classifying individual objects.
Victor H. R. Prudente +4 more
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Hierarchical object-based mapping of riverscape units and in-stream mesohabitats using LiDAR and VHR imagery [PDF]
, 2015 In this paper, we present a new, semi-automated methodology for mapping hydromorphological indicators of rivers at a regional scale using multisource remote sensing (RS) data.
BIZZI SIMONE +2 more
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Revista Brasileira de Cartografia, 2019 O crescimento da área plantada de eucaliptos no Brasil vem sendo constatado por dados censitários, e a utilização de dados de sensoriamento remoto contribui para entender onde, quando e como este processo de crescimento acontece.
Debora da Paz Gomes Brandão Ferraz +1 more
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Mango yield mapping at the orchard scale based on tree structure and land cover assessed by UAV [PDF]
, 2018 In the value chain, yields are key information for both growers and other stakeholders in market supply and exports. However, orchard yields are often still based on an extrapolation of tree production which is visually assessed on a limited number of ...
Faye, Emile +3 more
core +1 more source
A Meta-Methodology for Improving Land Cover and Land Use Classification with SAR Imagery
Remote Sensing, 2020 Per-point classification is a traditional method for remote sensing data classification, and for radar data in particular. Compared with optical data, the discriminative power of radar data is quite limited, for most applications.
Marinalva Dias Soares +5 more
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