Results 41 to 50 of about 212,434 (273)

Geographic Object-Based Image Analysis Framework for Mapping Vegetation Physiognomic Types at Fine Scales in Neotropical Savannas

open access: yesRemote Sensing, 2020
Regional maps of vegetation structure are necessary for delineating species habitats and for supporting conservation and ecological analyses. A systematic approach that can discriminate a wide range of meaningful and detailed vegetation classes is still ...
Fernanda F. Ribeiro   +5 more
doaj   +1 more source

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

Constrained tGAP for generalisation between scales: the case of Dutch topographic data [PDF]

open access: yes, 2009
This article presents the results of integrating large- and medium-scale data into a unified data structure. This structure can be used as a single non-redundant representation for the input data, which can be queried at any arbitrary scale between the ...
Dilo, Arta   +2 more
core   +3 more sources

Good Practices for Object-Based Accuracy Assessment

open access: yesRemote Sensing, 2017
Thematic accuracy assessment of a map is a necessary condition for the comparison of research results and the appropriate use of geographic data analysis.
Julien Radoux, Patrick Bogaert
doaj   +1 more source

Incorporating Deep Features into GEOBIA Paradigm for Remote Sensing Imagery Classification: A Patch-Based Approach

open access: yesRemote Sensing, 2020
The fast and accurate creation of land use/land cover maps from very-high-resolution (VHR) remote sensing imagery is crucial for urban planning and environmental monitoring.
Bo Liu   +3 more
doaj   +1 more source

SpaceNet MVOI: a Multi-View Overhead Imagery Dataset

open access: yes, 2019
Detection and segmentation of objects in overheard imagery is a challenging task. The variable density, random orientation, small size, and instance-to-instance heterogeneity of objects in overhead imagery calls for approaches distinct from existing ...
Bastidas, Alexei   +7 more
core   +1 more source

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait   +23 more
wiley   +1 more source

Characterisation of Banana Plant Growth Using High-Spatiotemporal-Resolution Multispectral UAV Imagery

open access: yesRemote Sensing, 2023
The determination of key phenological growth stages of banana plantations, such as flower emergence and plant establishment, is difficult due to the asynchronous growth habit of banana plants.
Aaron Aeberli   +4 more
doaj   +1 more source

AN UNSUPERVISED SEGMENTATION METHOD FOR REMOTE SENSING IMAGERY BASED ON CONDITIONAL RANDOM FIELDS [PDF]

open access: yesThe 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

Combining multiple resolutions into hierarchical representations for kernel-based image classification [PDF]

open access: yes, 2016
Geographic object-based image analysis (GEOBIA) framework has gained increasing interest recently. Following this popular paradigm, we propose a novel multiscale classification approach operating on a hierarchical image representation built from two ...
Chapel, Laetitia   +3 more
core   +3 more sources

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