Object-oriented information extraction and evaluation of seismic damage of buildings using very high spatial resolution imagery

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2016.7729737 ◽

2016 ◽

Author(s):

Yan Zhao ◽

Jingfa Zhang ◽

Leihua Yao

Keyword(s):

Information Extraction ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Object Oriented ◽

Seismic Damage ◽

Very High Spatial Resolution ◽

Very High ◽

High Spatial Resolution Imagery

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Building Change Detection using Object-Oriented LBP Feature Map in Very High Spatial Resolution Imagery

2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp) ◽

10.1109/multi-temp.2019.8866919 ◽

2019 ◽

Author(s):

Lan Zhang ◽

Bo Zhong ◽

Aixia Yang

Keyword(s):

Change Detection ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Object Oriented ◽

Feature Map ◽

Very High Spatial Resolution ◽

Very High ◽

High Spatial Resolution Imagery

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An automated flood detection framework for very high spatial resolution imagery

2014 IEEE Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2014.6947607 ◽

2014 ◽

Author(s):

Andrea Scarsi ◽

William J. Emery ◽

Gabriele Moser ◽

Fabio Pacifici ◽

Sebastiano B. Serpico

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Very High Spatial Resolution ◽

Flood Detection ◽

Very High ◽

High Spatial Resolution Imagery

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Long Term Soil Productivity study using very high spatial resolution imagery

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS ◽

10.1109/igarss.2013.6721202 ◽

2013 ◽

Author(s):

Kongwen Zhang ◽

Mike Curran ◽

Justin Robinson ◽

Baoxin Hu

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Soil Productivity ◽

Very High Spatial Resolution ◽

Very High ◽

High Spatial Resolution Imagery

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Identifying leading species using tree crown metrics derived from very high spatial resolution imagery in a boreal forest environment

Canadian Journal of Remote Sensing ◽

10.5589/m10-052 ◽

2010 ◽

Vol 36 (4) ◽

pp. 332-344 ◽

Author(s):

Brice Mora ◽

Michael A. Wulder ◽

Joanne C. White

Keyword(s):

Boreal Forest ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Forest Environment ◽

Very High Spatial Resolution ◽

Very High ◽

High Spatial Resolution Imagery

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The utility of texture analysis to improve per‐pixel classification for high to very high spatial resolution imagery

International Journal of Remote Sensing ◽

10.1080/01431160512331316838 ◽

2005 ◽

Vol 26 (4) ◽

pp. 733-745 ◽

Author(s):

Anne Puissant ◽

Jacky Hirsch ◽

Christiane Weber

Keyword(s):

Texture Analysis ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Pixel Classification ◽

Very High Spatial Resolution ◽

Very High ◽

High Spatial Resolution Imagery

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Classification of Very High Spatial Resolution Imagery Based on the Fusion of Edge and Multispectral Information

Photogrammetric Engineering & Remote Sensing ◽

10.14358/pers.74.12.1585 ◽

2008 ◽

Vol 74 (12) ◽

pp. 1585-1596 ◽

Author(s):

Xin Huang ◽

Liangpei Zhang ◽

Pingxiang Li

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Very High Spatial Resolution ◽

Very High ◽

High Spatial Resolution Imagery

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A fuzzy local neighbourhood-attraction-based information c-means clustering algorithm for very high spatial resolution imagery classification

Remote Sensing Letters ◽

10.1080/2150704x.2014.973075 ◽

2014 ◽

Vol 5 (9) ◽

pp. 843-852 ◽

Author(s):

Nanshan Zheng ◽

Hua Zhang ◽

Jingjing Fan ◽

Hongjie Guan

Keyword(s):

Spatial Resolution ◽

Clustering Algorithm ◽

High Spatial Resolution ◽

Very High Spatial Resolution ◽

Very High ◽

High Spatial Resolution Imagery

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Potential of Multi-scale Completed Local Binary Pattern for Object Based Classification of Very High Spatial Resolution Imagery

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-021-01311-y ◽

2021 ◽

Author(s):

Radhia Chairet ◽

Yassine Ben Salem ◽

Mohamed Aoun

Keyword(s):

Spatial Resolution ◽

Local Binary Pattern ◽

High Spatial Resolution ◽

Multi Scale ◽

Object Based ◽

Very High Spatial Resolution ◽

Very High ◽

High Spatial Resolution Imagery

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Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2009.2027895 ◽

2009 ◽

Vol 47 (11) ◽

pp. 3866-3879 ◽

Author(s):

D. Tuia ◽

F. Pacifici ◽

M. Kanevski ◽

W.J. Emery

Keyword(s):

Support Vector Machines ◽

Mathematical Morphology ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Support Vector ◽

Vector Machines ◽

Very High Spatial Resolution ◽

Very High ◽

High Spatial Resolution Imagery

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Classification of Very High Spatial Resolution Imagery Based on a New Pixel Shape Feature Set

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2013.2282469 ◽

2014 ◽

Vol 11 (5) ◽

pp. 940-944 ◽

Author(s):

Hua Zhang ◽

Wenzhong Shi ◽

Yunjia Wang ◽

Ming Hao ◽

Zelang Miao

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Shape Feature ◽

Very High Spatial Resolution ◽

Very High ◽

High Spatial Resolution Imagery

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