Change detection from remotely sensed images: From pixel-based to object-based approaches

M Hussain, D Chen, A Cheng, H Wei… - ISPRS Journal of …, 2013 - Elsevier
The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …

[HTML][HTML] Object based image analysis for remote sensing

T Blaschke - ISPRS journal of photogrammetry and remote sensing, 2010 - Elsevier
Remote sensing imagery needs to be converted into tangible information which can be
utilised in conjunction with other data sets, often within widely used Geographic Information …

Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 data on Google Earth …

J Xiong, PS Thenkabail, JC Tilton, MK Gumma… - Remote Sensing, 2017 - mdpi.com
A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must
for food and water security analysis. Precise and accurate global cropland extent maps …

Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery

SW Myint, P Gober, A Brazel… - Remote sensing of …, 2011 - Elsevier
In using traditional digital classification algorithms, a researcher typically encounters serious
issues in identifying urban land cover classes employing high resolution data. A normal …

Object-based change detection

G Chen, GJ Hay, LMT Carvalho… - International Journal of …, 2012 - Taylor & Francis
Characterizations of land-cover dynamics are among the most important applications of
Earth observation data, providing insights into management, policy and science. Recent …

Hierarchical semantic cognition for urban functional zones with VHR satellite images and POI data

X Zhang, S Du, Q Wang - ISPRS Journal of Photogrammetry and Remote …, 2017 - Elsevier
As the basic units of urban areas, functional zones are essential for city planning and
management, but functional-zone maps are hardly available in most cities, as traditional …

Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study

E Guirado, S Tabik, D Alcaraz-Segura, J Cabello… - Remote Sensing, 2017 - mdpi.com
There is a growing demand for accurate high-resolution land cover maps in many fields, eg,
in land-use planning and biodiversity conservation. Developing such maps has been …

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 …

Modeling managed grassland biomass estimation by using multitemporal remote sensing data—A machine learning approach

I Ali, F Cawkwell, E Dwyer… - IEEE Journal of Selected …, 2016 - ieeexplore.ieee.org
More than 80% of agricultural land in Ireland is grassland, which is a major feed source for
the pasture based dairy farming and livestock industry. Many studies have been undertaken …

A hierarchical self-attention augmented Laplacian pyramid expanding network for change detection in high-resolution remote sensing images

H Cheng, H Wu, J Zheng, K Qi, W Liu - ISPRS Journal of Photogrammetry …, 2021 - Elsevier
Change detection methods can achieve high learning ability and recognition accuracy with
the introduction of deep convolutional neural networks, but due to the influence of the …