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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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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Pulse Coupled Neural Networks for Automatic Urban Change Detection at Very High Spatial Resolution

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10268-4_109 ◽

2009 ◽

pp. 929-942 ◽

Author(s):

Fabio Pacifici ◽

William J. Emery

Keyword(s):

Neural Networks ◽

Change Detection ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Urban Change ◽

Coupled Neural Networks ◽

Very High Spatial Resolution ◽

Pulse Coupled Neural Networks ◽

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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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Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2009.10.002 ◽

2010 ◽

Vol 65 (1) ◽

pp. 143-153 ◽

Author(s):

Mourad Bouziani ◽

Kalifa Goïta ◽

Dong-Chen He

Keyword(s):

Change Detection ◽

Urban Environment ◽

Prior Knowledge ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Very High Spatial Resolution ◽

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A Contrario Comparison of Local Descriptors for Change Detection in Very High Spatial Resolution Satellite Images of Urban Areas

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2018.2888985 ◽

2019 ◽

Vol 57 (6) ◽

pp. 3904-3918 ◽

Author(s):

Gang Liu ◽

Yann Gousseau ◽

Florence Tupin

Keyword(s):

Change Detection ◽

Spatial Resolution ◽

Urban Areas ◽

Satellite Images ◽

High Spatial Resolution ◽

Local Descriptors ◽

Very High Spatial Resolution ◽

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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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Unsupervised Change Detection for Very High-spatial Resolution Satellite Imagery by Using Object-based IR-MAD Algorithm

Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography ◽

10.7848/ksgpc.2015.33.4.297 ◽

2015 ◽

Vol 33 (4) ◽

pp. 297-304 ◽

Author(s):

Choi Jaewan

Keyword(s):

Change Detection ◽

Spatial Resolution ◽

Satellite Imagery ◽

High Spatial Resolution ◽

Object Based ◽

Very High Spatial Resolution ◽

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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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