A comparison of pixel and object-based land cover classification: a case study of the Asmara region, Eritrea

Object-Based on Land Cover Classification on LAPAN-A3 Satellite Imagery Using Tree Algorithm (Case Study: Rote Island)

International Journal on Advanced Science Engineering and Information Technology ◽

10.18517/ijaseit.11.6.14200 ◽

2021 ◽

Vol 11 (6) ◽

pp. 2254

Author(s):

Agus Herawan ◽

Atriyon Julzarika ◽

Patria Rachman Hakim ◽

Ega Asti Anggari

Keyword(s):

Land Cover ◽

Satellite Imagery ◽

Land Cover Classification ◽

Tree Algorithm ◽

Object Based

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Object-based land cover classification in high spatial resolution remote sensing imagery of mountain area, a case study in Miyun reservoir area

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS ◽

10.1109/igarss.2013.6723542 ◽

2013 ◽

Author(s):

Quanzhi Yuan ◽

Bingfang Wu ◽

Lei Zhang ◽

Xiaosong Li ◽

Qiang Xing

Keyword(s):

Remote Sensing ◽

Land Cover ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Land Cover Classification ◽

Miyun Reservoir ◽

Mountain Area ◽

Reservoir Area ◽

Object Based

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Disaster Impact Analysis Uses Land Cover Classification, Case study: Petobo Liquefaction

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) ◽

10.1109/ic2ie50715.2020.9274573 ◽

2020 ◽

Author(s):

Rachmat Hidayat ◽

Aniati Murni Arymurthy ◽

Dimas Sony Dewantara

Keyword(s):

Land Cover ◽

Impact Analysis ◽

Land Cover Classification ◽

Disaster Impact

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Object-based urban land cover classification using rule inheritance over very high-resolution multisensor and multitemporal data

GIScience & Remote Sensing ◽

10.1080/15481603.2015.1122923 ◽

2015 ◽

Vol 53 (2) ◽

pp. 164-182 ◽

Cited By ~ 18

Author(s):

Ejaz Hussain ◽

Jie Shan

Keyword(s):

High Resolution ◽

Land Cover ◽

Land Cover Classification ◽

Urban Land ◽

Urban Land Cover ◽

Object Based ◽

Multitemporal Data ◽

Very High

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A comparison of pixel-based decision tree and object-based Support Vector Machine methods for land-cover classification based on aerial images and airborne lidar data

International Journal of Remote Sensing ◽

10.1080/01431161.2017.1371864 ◽

2017 ◽

Vol 38 (23) ◽

pp. 7176-7195 ◽

Cited By ~ 12

Author(s):

Qiong Wu ◽

Ruofei Zhong ◽

Wenji Zhao ◽

Han Fu ◽

Kai Song

Keyword(s):

Support Vector Machine ◽

Land Cover ◽

Decision Tree ◽

Land Cover Classification ◽

Airborne Lidar ◽

Aerial Images ◽

Support Vector ◽

Lidar Data ◽

Object Based ◽

Airborne Lidar Data

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An Object-Based Method for Urban Land Cover Classification Using Airborne Lidar Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2014.2332337 ◽

2014 ◽

Vol 7 (10) ◽

pp. 4243-4254 ◽

Cited By ~ 21

Author(s):

Ziyue Chen ◽

Bingbo Gao

Keyword(s):

Land Cover ◽

Land Cover Classification ◽

Urban Land ◽

Airborne Lidar ◽

Lidar Data ◽

Urban Land Cover ◽

Object Based ◽

Airborne Lidar Data

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A comparison of pixel-based and object-based approaches for land use land cover classification in semi-arid areas, Sudan

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/37/1/012061 ◽

2016 ◽

Vol 37 ◽

pp. 012061 ◽

Cited By ~ 6

Author(s):

H E Adam ◽

E Csaplovics ◽

M E Elhaja

Keyword(s):

Land Use ◽

Land Cover ◽

Land Cover Classification ◽

Arid Areas ◽

Land Use Land Cover ◽

Object Based ◽

Semi Arid

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A Study on Object-Based Image Analysis Methods for Land Cover Classification in Agricultural Areas

Journal of the Korean Association of Geographic Information Studies ◽

10.11108/kagis.2012.15.4.026 ◽

2012 ◽

Vol 15 (4) ◽

pp. 26-41 ◽

Cited By ~ 10

Author(s):

Hyun-Ok Kim ◽

Jong-Min Yeom

Keyword(s):

Image Analysis ◽

Land Cover ◽

Land Cover Classification ◽

Object Based Image Analysis ◽

Analysis Methods ◽

Object Based ◽

Agricultural Areas

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Application of object-based accuracy assessment for land cover classification using rapideye images in Southeastern Brazil

GEOBIA 2016 : Solutions and Synergies ◽

10.3990/2.435 ◽

2016 ◽

Author(s):

D.F.C. Prado ◽

L.M.T. Carvalho

Keyword(s):

Land Cover ◽

Accuracy Assessment ◽

Land Cover Classification ◽

Southeastern Brazil ◽

Object Based

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Stratified even sampling method for accuracy assessment of land use/land cover classification: a case study of Beijing, China

International Journal of Remote Sensing ◽

10.1080/01431161.2020.1739349 ◽

2020 ◽

Vol 41 (16) ◽

pp. 6427-6443

Author(s):

Shiwei Dong ◽

Ziyue Chen ◽

Bingbo Gao ◽

Hui Guo ◽

Danfeng Sun ◽

...

Keyword(s):

Land Use ◽

Land Cover ◽

Sampling Method ◽

Accuracy Assessment ◽

Land Cover Classification ◽

Land Use Land Cover ◽

Beijing China

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