A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches

S Ye, RG Pontius Jr, R Rakshit - ISPRS Journal of Photogrammetry and …, 2018 - Elsevier
Object-based image analysis (OBIA) has gained widespread popularity for creating maps
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

C Corbane, S Lang, K Pipkins, S Alleaume… - International Journal of …, 2015 - Elsevier
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 …

Remote sensing of terrestrial plant biodiversity

R Wang, JA Gamon - Remote Sensing of Environment, 2019 - Elsevier
Biodiversity is essential to healthy ecosystem function, influencing productivity and
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …

[HTML][HTML] Geographic object-based image analysis–towards a new paradigm

T Blaschke, GJ Hay, M Kelly, S Lang, P Hofmann… - ISPRS journal of …, 2014 - Elsevier
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 …

[HTML][HTML] Automated parameterisation for multi-scale image segmentation on multiple layers

L Drăguţ, O Csillik, C Eisank, D Tiede - ISPRS Journal of photogrammetry …, 2014 - Elsevier
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 …

A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments

M Li, L Ma, T Blaschke, L Cheng, D Tiede - International journal of applied …, 2016 - Elsevier
Abstract Geographic Object-Based Image Analysis (GEOBIA) is becoming more prevalent in
remote sensing classification, especially for high-resolution imagery. Many supervised …

Comparison and improvement of methods for identifying waterbodies in remotely sensed imagery

F Sun, W Sun, J Chen, P Gong - International journal of remote …, 2012 - Taylor & Francis
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 …

[Књига][B] Urban remote sensing

J Shan, Q Weng, M Ehlers, DA Quattrochi, G Zhou… - 2018 - taylorfrancis.com
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 …

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 …

A semi-automated object-based approach for landslide detection validated by persistent scatterer interferometry measures and landslide inventories

D Hölbling, P Füreder, F Antolini, F Cigna, N Casagli… - Remote Sensing, 2012 - mdpi.com
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 …