Results 81 to 90 of about 49,010,873 (166)

From Pixels to Geographic Objects in Remote Sensing Image Analysis [PDF]

open access: yes, 2012
Traditional image analysis methods are mostly pixel-based and use the spectral differences of landscape elements at the Earth surface to classify these elements or to extract element properties from the Earth Observation image.
Van Coillie, Frieke M.B.   +5 more
core   +1 more source

Object-based Mapping of Landslides with Remotely Sensed Data and Python Programming in Taq Taq, Iraq

open access: yesNTU Journal of Engineering and Technology
This paper involves object-based landslide detection, classification and susceptibility mapping with a specific focus on how Python scripting can complement automation, reproducibility and efficiency of analysis. A combined Geographic Object-Based Image
Zinah Nabil Abbas   +2 more
doaj   +1 more source

Identifying Generalizable Image Segmentation Parameters for Urban Land Cover Mapping through Meta-Analysis and Regression Tree Modeling

open access: yesRemote Sensing, 2018
The advent of very high resolution (VHR) satellite imagery and the development of Geographic Object-Based Image Analysis (GEOBIA) have led to many new opportunities for fine-scale land cover mapping, especially in urban areas.
Brian A. Johnson, Shahab E. Jozdani
doaj   +1 more source

An Object-Based Approach for Fire History Reconstruction by Using Three Generations of Landsat Sensors

open access: yesRemote Sensing, 2014
In this study, the capability of geographic object-based image analysis (GEOBIA) in the reconstruction of the recent fire history of a typical Mediterranean area was investigated.
Thomas Katagis   +2 more
doaj   +1 more source

Environmental object recognition in a natural image: an experimental approach using geographic object based image analysis (GEOBIA)

open access: yes, 2014
Natural images, which are filled with intriguing stimuli of spatial objects, represent our cognition and are rich in spatial information. Accurate extraction of spatial objects is challenging due to the associated spatial and spectral complexities in the
Josselin, D (15582509)   +1 more
core  

Object-Based Image Analysis and Digital Terrain Analysis for Locating Landslides in the Urmia Lake Basin, Iran

open access: yesIEEE 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

Automatic Geographic Object Based Mapping of Streambed and Riparian Zone Extent from LiDAR Data in a Temperate Rural Urban Environment, Australia

open access: yesRemote Sensing, 2011
This research presents a time-effective approach for mapping streambed and riparian zone extent from high spatial resolution LiDAR derived products, i.e., digital terrain model, terrain slope and plant projective cover.
Stuart Phinn   +4 more
doaj   +1 more source

Integrating Uav Imagery and Machine Learning Via Geographic Object Based Image Analysis (Geobia) for Enhanced Monitoring of Yucca Gloriosa in Mediterranean Coastal Dunes

open access: yesOcean & Coastal Management
Effective monitoring and early detection of invasive alien plant species (IAPs) are crucial for mitigating their spread and safeguarding native habitats. Unmanned Aerial Vehicles (UAVs) offer a cost-efficient solution, providing high resolution images.
Elena Cini   +5 more
openaire   +2 more sources

Identification and Classification of Geographically Isolated Wetlands in North Alabama using Geographic Object Based Image Analysis (GeOBIA) [PDF]

open access: yes, 2013
Due to recent Supreme Court rulings there has been an increased interest in the isolated wetlands of the United States. These types of wetlands while generally smaller in extent than traditional wetlands serve vital ecological roles such as water quality
Jones, Tyler
core  

Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification

open access: yesRemote Sensing, 2017
The geographic object-based image analysis (GEOBIA) framework has gained increasing interest for the last decade. One of its key advantages is the hierarchical representation of an image, where object topological features can be extracted and modeled in ...
Yanwei Cui   +2 more
doaj   +1 more source

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