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Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective

ISPRS journal of photogrammetry and remote sensing, 2019-04, Vol.150, p.115-134

2019

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A survey on object detection in optical remote sensing images

ISPRS journal of photogrammetry and remote sensing, 2016-07, Vol.117, p.11-28

2016

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A review of supervised object-based land-cover image classification

ISPRS journal of photogrammetry and remote sensing, 2017-08, Vol.130, p.277-293

2017

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The relation between land use and subsidence in the Vietnamese Mekong delta

The Science of the total environment, 2018-09, Vol.634, p.715-726

2018

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Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system

GIScience and remote sensing, 2018-03, Vol.55 (2), p.243-264

2018

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Object-based random forest modelling of aboveground forest biomass outperforms a pixel-based approach in a heterogeneous and mountain tropical environment

International journal of applied earth observation and geoinformation, 2019-06, Vol.78, p.175-188

2019

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Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

Remote sensing of environment, 2018-01, Vol.204, p.509-523

2018

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Monitoring the spatio-temporal dynamics of the wetland vegetation in Poyang Lake by Landsat and MODIS observations

The Science of the total environment, 2020-07, Vol.725, p.138096, Article 138096

2020

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An object-based convolutional neural network (OCNN) for urban land use classification

Remote sensing of environment, 2018-10, Vol.216, p.57-70

2018

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Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters

Remote sensing of environment, 2021-11, Vol.265, p.112636, Article 112636

2021

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

ISPRS journal of photogrammetry and remote sensing, 2018-07, Vol.141, p.137-147

2018

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Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

International journal of applied earth observation and geoinformation, 2018-05, Vol.67, p.43-53

2018

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Less is more: optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application

GIScience and remote sensing, 2018-03, Vol.55 (2), p.221-242

2018

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Seagrass mapping in Greek territorial waters using Landsat-8 satellite images

International journal of applied earth observation and geoinformation, 2018-05, Vol.67, p.98-113

2018

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Change detection using deep learning approach with object-based image analysis

Remote sensing of environment, 2021-04, Vol.256, p.112308, Article 112308

2021

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Análise da Qualidade da Segmentação e Classificação de uma Imagem Urbana do Satélite GeoEye-1 Baseada em Objeto e Realizadas nas Plataformas PostgreSQL e InterIMAGE

Anuário do Instituto de Geociências, 2019-05, Vol.42 (3), p.85-97

2019

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An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops

Computers and electronics in agriculture, 2015-06, Vol.114, p.43-52

2015

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Geographic Object-Based Image Analysis – Towards a new paradigm

ISPRS journal of photogrammetry and remote sensing, 2014-01, Vol.87 (100), p.180-191

2014

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Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach

Remote sensing of environment, 2021-08, Vol.261, p.112480, Article 112480

2021

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Big Earth data: disruptive changes in Earth observation data management and analysis?

International journal of digital earth, 2020-07, Vol.13 (7), p.832-850

2020

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Supervised methods of image segmentation accuracy assessment in land cover mapping

Remote sensing of environment, 2018-02, Vol.205, p.338-351

2018

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Developments in Landsat Land Cover Classification Methods: A Review

Remote sensing (Basel, Switzerland), 2017-09, Vol.9 (9), p.967

2017

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Landslide detection using deep learning and object-based image analysis

Landslides, 2022-04, Vol.19 (4), p.929-939

2022

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A comparison between Pixel-based deep learning and Object-based image analysis (OBIA) for individual detection of cabbage plants based on UAV Visible-light images

Computers and electronics in agriculture, 2023-06, Vol.209, p.107822, Article 107822

2023

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Deep convolutional neural network training enrichment using multi-view object-based analysis of Unmanned Aerial systems imagery for wetlands classification

ISPRS journal of photogrammetry and remote sensing, 2018-05, Vol.139, p.154-170

2018

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Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective

A survey on object detection in optical remote sensing images

A review of supervised object-based land-cover image classification

The relation between land use and subsidence in the Vietnamese Mekong delta

Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system

Object-based random forest modelling of aboveground forest biomass outperforms a pixel-based approach in a heterogeneous and mountain tropical environment

Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

Monitoring the spatio-temporal dynamics of the wetland vegetation in Poyang Lake by Landsat and MODIS observations

An object-based convolutional neural network (OCNN) for urban land use classification

Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters

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

Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

Less is more: optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application

Seagrass mapping in Greek territorial waters using Landsat-8 satellite images

Change detection using deep learning approach with object-based image analysis

Análise da Qualidade da Segmentação e Classificação de uma Imagem Urbana do Satélite GeoEye-1 Baseada em Objeto e Realizadas nas Plataformas PostgreSQL e InterIMAGE

An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops

Geographic Object-Based Image Analysis – Towards a new paradigm

Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach

Big Earth data: disruptive changes in Earth observation data management and analysis?

Supervised methods of image segmentation accuracy assessment in land cover mapping

Developments in Landsat Land Cover Classification Methods: A Review

Landslide detection using deep learning and object-based image analysis

A comparison between Pixel-based deep learning and Object-based image analysis (OBIA) for individual detection of cabbage plants based on UAV Visible-light images

Deep convolutional neural network training enrichment using multi-view object-based analysis of Unmanned Aerial systems imagery for wetlands classification

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