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

Very High ◽

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 ◽

Cited By ~ 10

Author(s):

Xin Huang ◽

Liangpei Zhang ◽

Pingxiang Li

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Very High ◽

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 ◽

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 ◽

Cited By ~ 132

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 ◽

An automated flood detection framework for very high spatial resolution imagery

2014 IEEE Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2014.6947607 ◽

2014 ◽

Cited By ~ 7

Author(s):

Andrea Scarsi ◽

William J. Emery ◽

Gabriele Moser ◽

Fabio Pacifici ◽

Sebastiano B. Serpico

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Flood Detection ◽

Very High ◽

Hierarchical Classification of Brazilian Savanna Physiognomies Using Very High Spatial Resolution Image, Superpixel and Geobia

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8898649 ◽

2019 ◽

Author(s):

Alana Kasahara Neves ◽

Thales Sehn Korting ◽

Cesare Di Girolamo Neto ◽

Anderson Reis Soares ◽

Leila Maria Garcia Fonseca

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Hierarchical Classification ◽

Brazilian Savanna ◽

High Spatial Resolution Image ◽

Resolution Image ◽

Very High

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 ◽

Cited By ~ 2

Author(s):

Kongwen Zhang ◽

Mike Curran ◽

Justin Robinson ◽

Baoxin Hu

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Soil Productivity ◽

Very High ◽

Improving the classification of urban tree diversity from Very High Spatial Resolution hyperspectral images: comparison of multiples techniques

2019 Joint Urban Remote Sensing Event (JURSE) ◽

10.1109/jurse.2019.8809030 ◽

2019 ◽

Author(s):

Charlotte Brabant ◽

Emilien Alvarez-Vanhard ◽

Thomas Houet

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Tree Diversity ◽

Hyperspectral Images ◽

Urban Tree ◽

Very High

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 ◽

Cited By ~ 18

Author(s):

Brice Mora ◽

Michael A. Wulder ◽

Joanne C. White

Keyword(s):

Boreal Forest ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Tree Crown ◽

Forest Environment ◽

Very High ◽

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 ◽

Cited By ~ 172

Author(s):

Anne Puissant ◽

Jacky Hirsch ◽

Christiane Weber

Keyword(s):

Texture Analysis ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Pixel Classification ◽

Very High ◽

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

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

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 ◽