Results 71 to 80 of about 68,744 (188)
AN UNSUPERVISED SEGMENTATION METHOD FOR REMOTE SENSING IMAGERY BASED ON CONDITIONAL RANDOM FIELDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Segmentation is a fundamental problem in image processing and a common operation in Remote Sensing, which has been widely used especially in Geographic Object-Based Image Analysis (GEOBIA).
A. R. Soares +3 more
doaj +1 more source
From pixels to grixels: a unified functional model for geographic-object-based image analysis [PDF]
, 2008 Geographic Object-Based Image Analysis (GEOBIA) aims to better exploit earth remotely sensed imagery by focusing on building image-objects resembling the real-world objects instead of using raw pixels as basis for classification.
Elsner, Paul, Lizarazo, Ivan
core
UAS photogrammetry and object-based image analysis (GEOBIA): erosion monitoring at the Kazár badland, Hungary [PDF]
, 2016 L
Bertalan, László +2 more
core +2 more sources
River Research and Applications, Volume 41, Issue 2, Page 285-300, February 2025.Abstract This study employs object‐based image analysis to investigate land cover dynamics and channel changes in the managed corridor of the Orljava River following anthropogenic vegetation removal and a flood event. By classifying RGB and near‐infrared (NIR) images from the decade 2011–2021, five land cover classes within the river corridor were ...
Katarina Pavlek +2 more
wiley +1 more source
Remote Sensing, 2017 Image segmentation is a crucial stage at the very beginning of many geographic object-based image analysis (GEOBIA) workflows. While segmentation quality is generally deemed of great importance, selecting adequate tuning parameters for a segmentation ...
Sebastian Böck +2 more
doaj +1 more source
Estimating the Creation and Removal Date of Fracking Ponds Using Trend Analysis of Landsat Imagery
, 2018 Hydraulic fracturing, or fracking, is a process of introducing liquid at high pressure to create fractures in shale rock formations, thus releasing natural gas.
Amos, John +2 more
core +1 more source
Earth Surface Processes and Landforms, Volume 50, Issue 1, January 2025.Meta's 2023 foundation AI model, Segment Anything (SAM), was used to assist the mapping of changes in the extent of riparian woodland along three gravel bed, meandering, river reaches in rural settings in the United Kingdom. Using visual prompts in interactive mode, this approach is shown to deliver substantial time savings over manual digitisation ...
Martin Dawson +4 more
wiley +1 more source
Earth Surface Processes and Landforms, Volume 49, Issue 14, Page 4553-4569, November 2024.We present a semi‐automated framework applying object‐based analysis of Sentinel‐2 and digital elevation data to map dunes and quantify their orientation. The approach is applied to five dune fields in the Ili‐Balkhash region in Kazakhstan. Comparing bedform orientations with the modern wind regime, we find (1) better alignment considering only strong ...
Maike Nowatzki +3 more
wiley +1 more source
Remote Sensing, 2016 The logistical challenges of Antarctic field work and the increasing availability of very high resolution commercial imagery have driven an interest in more efficient search and classification of remotely sensed imagery.
Chandi Witharana, Heather J. Lynch
doaj +1 more source
Earth Surface Processes and Landforms, Volume 49, Issue 11, Page 3524-3540, 15 September 2024.We develop a hierarchical method to map geomorphic units across valley bottoms. The method accommodates user decisions regarding effort invested versus quality and accuracy. The method produces 12 preliminary, 20 refined, and four sub‐types of geomorphic units. The method can be applied to all river types.
Nuosha Zhang, Kirstie Fryirs
wiley +1 more source