A SVM ensemble approach for spectral-contextual classification of optical high spatial resolution imagery

2007 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2007.4423090 ◽

2007 ◽

Author(s):

Maciel Zortea ◽

Michaela De Martino ◽

Sebastiano Serpico

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Ensemble Approach ◽

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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Object-based classification of land cover and tree species by integrating airborne LiDAR and high spatial resolution imagery data

Landscape and Ecological Engineering ◽

10.1007/s11355-011-0158-z ◽

2011 ◽

Vol 8 (2) ◽

pp. 157-171 ◽

Author(s):

Takeshi Sasaki ◽

Junichi Imanishi ◽

Keiko Ioki ◽

Yukihiro Morimoto ◽

Katsunori Kitada

Keyword(s):

Spatial Resolution ◽

Tree Species ◽

High Spatial Resolution ◽

Airborne Lidar ◽

Object Based ◽

Imagery Data ◽

High Spatial Resolution Imagery

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Classification of High Spatial Resolution Imagery Using Improved Gaussian Markov Random-Field-Based Texture Features

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2007.892602 ◽

2007 ◽

Vol 45 (5) ◽

pp. 1458-1468 ◽

Author(s):

Yindi Zhao ◽

Liangpei Zhang ◽

Pingxiang Li ◽

Bo Huang

Keyword(s):

Random Field ◽

Spatial Resolution ◽

Markov Random Field ◽

High Spatial Resolution ◽

Texture Features ◽

Gaussian Markov Random Field ◽

Markov Random ◽

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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Large patch convolutional neural networks for the scene classification of high spatial resolution imagery

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.10.025006 ◽

2016 ◽

Vol 10 (2) ◽

pp. 025006 ◽

Author(s):

Yanfei Zhong ◽

Feng Fei ◽

Liangpei Zhang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Scene Classification ◽

Large Patch ◽

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 high spatial resolution imagery using optimal Gabor-filters-based texture features

10.1117/12.760812 ◽

2007 ◽

Author(s):

Yindi Zhao ◽

Bo Wu

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Texture Features ◽

Gabor Filters ◽

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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A Comparison of Multispectral and Multitemporal Information in High Spatial Resolution Imagery for Classification of Individual Tree Species in a Temperate Hardwood Forest

Remote Sensing of Environment ◽

10.1016/s0034-4257(00)00159-0 ◽

2001 ◽

Vol 75 (1) ◽

pp. 100-112 ◽

Author(s):

T Key

Keyword(s):

Spatial Resolution ◽

Tree Species ◽

High Spatial Resolution ◽

Hardwood Forest ◽

Individual Tree ◽

High Spatial Resolution Imagery

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Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery

Remote Sensing of Environment ◽

10.1016/j.rse.2010.12.017 ◽

2011 ◽

Vol 115 (5) ◽

pp. 1145-1161 ◽

Author(s):

Soe W. Myint ◽

Patricia Gober ◽

Anthony Brazel ◽

Susanne Grossman-Clarke ◽

Qihao Weng

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Urban Land Cover ◽

Object Based ◽

High Spatial Resolution Imagery

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