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A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches
Object-based image analysis (OBIA) has gained widespread popularity for creating maps
from remotely sensed data. Researchers routinely claim that OBIA procedures outperform …
from remotely sensed data. Researchers routinely claim that OBIA procedures outperform …
Remote sensing for map** natural habitats and their conservation status–New opportunities and challenges
Safeguarding the diversity of natural and semi-natural habitats in Europe is one of the aims
set out by the Habitats Directive (Council Directive 92/43/EEC on the conservation of natural …
set out by the Habitats Directive (Council Directive 92/43/EEC on the conservation of natural …
Remote sensing of terrestrial plant biodiversity
Biodiversity is essential to healthy ecosystem function, influencing productivity and
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …
[HTML][HTML] Geographic object-based image analysis–towards a new paradigm
The amount of scientific literature on (Geographic) Object-based Image Analysis–GEOBIA
has been and still is sharply increasing. These approaches to analysing imagery have …
has been and still is sharply increasing. These approaches to analysing imagery have …
[HTML][HTML] Automated parameterisation for multi-scale image segmentation on multiple layers
We introduce a new automated approach to parameterising multi-scale image segmentation
of multiple layers, and we implemented it as a generic tool for the eCognition® software …
of multiple layers, and we implemented it as a generic tool for the eCognition® software …
A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments
Abstract Geographic Object-Based Image Analysis (GEOBIA) is becoming more prevalent in
remote sensing classification, especially for high-resolution imagery. Many supervised …
remote sensing classification, especially for high-resolution imagery. Many supervised …
Comparison and improvement of methods for identifying waterbodies in remotely sensed imagery
This article first examines three existing methods of delineating open water features, ie the
normalized difference water index (NDWI), the modified normalized difference water index …
normalized difference water index (NDWI), the modified normalized difference water index …
[Књига][B] Urban remote sensing
Driven by advances in technology and societal needs, the next frontier in remote sensing is
urban areas. With the advent of high-resolution imagery and more capable techniques, the …
urban areas. With the advent of high-resolution imagery and more capable techniques, the …
Discrepancy measures for selecting optimal combination of parameter values in object-based image analysis
Y Liu, L Bian, Y Meng, H Wang, S Zhang… - ISPRS journal of …, 2012 - Elsevier
Most object-based image analysis use parameters to control the size, shape, and
homogeneity of segments. Because each parameter may take a range of possible values …
homogeneity of segments. Because each parameter may take a range of possible values …
A semi-automated object-based approach for landslide detection validated by persistent scatterer interferometry measures and landslide inventories
Geoinformation derived from Earth observation (EO) plays a key role for detecting, analyzing
and monitoring landslides to assist hazard and risk analysis. Within the framework of the EC …
and monitoring landslides to assist hazard and risk analysis. Within the framework of the EC …