Learning Relationship for Very High Resolution Image Change Detection

Chunlei Huo; Keming Chen; Kun Ding; Zhixin Zhou; Chunhong Pan

doi:10.1109/jstars.2016.2569598

Learning Relationship for Very High Resolution Image Change Detection

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

10.1109/jstars.2016.2569598 ◽

2016 ◽

Vol 9 (8) ◽

pp. 3384-3394 ◽

Cited By ~ 10

Author(s):

Chunlei Huo ◽

Keming Chen ◽

Kun Ding ◽

Zhixin Zhou ◽

Chunhong Pan

Keyword(s):

High Resolution ◽

Change Detection ◽

Resolution Image ◽

High Resolution Image ◽

Image Change Detection ◽

Very High

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Multiple Attention Siamese Network for High-Resolution Image Change Detection

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3127580 ◽

2021 ◽

pp. 1-1

Author(s):

Jiru Huang ◽

Qian Shen ◽

Min Wang ◽

Mengyuan Yang

Keyword(s):

High Resolution ◽

Change Detection ◽

Resolution Image ◽

High Resolution Image ◽

Siamese Network ◽

Image Change Detection

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Rule-Based Classification of a Very High Resolution Image in an Urban Environment Using Multispectral Segmentation Guided by Cartographic Data

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2010.2044508 ◽

2010 ◽

Vol 48 (8) ◽

pp. 3198-3211 ◽

Cited By ~ 38

Author(s):

Mourad Bouziani ◽

Kalifa Goita ◽

Dong-Chen He

Keyword(s):

High Resolution ◽

Urban Environment ◽

Rule Based ◽

Resolution Image ◽

High Resolution Image ◽

Very High

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Building extraction using lidar data and very high resolution image over complex urban area

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS ◽

10.1109/igarss.2013.6723773 ◽

2013 ◽

Cited By ~ 4

Author(s):

Peijun Li ◽

Shasha Jiang ◽

Xue Wang ◽

Jun Zhang

Keyword(s):

High Resolution ◽

Urban Area ◽

Lidar Data ◽

Building Extraction ◽

Resolution Image ◽

High Resolution Image ◽

Very High

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Very high resolution image acquisition through image reconstruction from lower resolution images taken with multiple cameras

[Proceedings] Singapore ICCS/ISITA `92 ◽

10.1109/iccs.1992.255186 ◽

2003 ◽

Author(s):

T. Saito ◽

T. Komatsu ◽

K. Aizawa

Keyword(s):

High Resolution ◽

Image Reconstruction ◽

Image Acquisition ◽

Multiple Cameras ◽

Resolution Image ◽

High Resolution Image ◽

Very High

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Wavelet based texture modeling for panchromatic very high resolution image classification: Application to oyster racks detection

2014 IEEE Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2014.6947657 ◽

2014 ◽

Cited By ~ 2

Author(s):

O. Regniers ◽

L. Bombrun ◽

V. Lafon ◽

A. Dehouck ◽

C. Tinel ◽

...

Keyword(s):

High Resolution ◽

Image Classification ◽

Resolution Image ◽

High Resolution Image ◽

Texture Modeling ◽

Very High

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Sift And Gabor Features For Very High Resolution Image Classification

2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS) ◽

10.1109/m2garss47143.2020.9105324 ◽

2020 ◽

Author(s):

Chahrazed FIALA ◽

Abdelhamid DAAMOUCHE

Keyword(s):

High Resolution ◽

Image Classification ◽

Resolution Image ◽

High Resolution Image ◽

Gabor Features ◽

Very High

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A novel framework for very high resolution remote sensing image change detection

International Journal of Networking and Virtual Organisations ◽

10.1504/ijnvo.2018.10016262 ◽

2018 ◽

Vol 19 (2/3/4) ◽

pp. 357

Author(s):

Ning Sun ◽

Jianlong Zhang ◽

Jie Li

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Remote Sensing Image ◽

Image Change Detection ◽

Very High

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Quantification of Tree Crowns in Urban Areas Using Very High Resolution Image

Responsible and Smart Land Management Interventions ◽

10.1201/9781003021636-24 ◽

2020 ◽

pp. 241-250

Author(s):

Germain Muvunyi

Keyword(s):

High Resolution ◽

Urban Areas ◽

Tree Crowns ◽

Resolution Image ◽

High Resolution Image ◽

Very High

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Study of limitations on pixel size of very high resolution image sensors

Proceedings of the Eighteenth National Radio Science Conference. NRSC'2001 (IEEE Cat. No.01EX462) ◽

10.1109/nrsc.2001.929154 ◽

2002 ◽

Cited By ~ 3

Author(s):

E.-S. Eid

Keyword(s):

High Resolution ◽

Image Sensors ◽

Pixel Size ◽

Resolution Image ◽

High Resolution Image ◽

Very High

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Very High Resolution Image Semantic Segmentation with Contextualized Convolutional Neural Network Coupled with Higher Order Conditional Random Fields

2019 IEEE 15th International Conference on Control and Automation (ICCA) ◽

10.1109/icca.2019.8899544 ◽

2019 ◽

Author(s):

Tiancan Mei ◽

Hong Ji ◽

Wenyuan Zheng ◽

Saixian He

Keyword(s):

Neural Network ◽

High Resolution ◽

Convolutional Neural Network ◽

Random Fields ◽

Conditional Random Fields ◽

Semantic Segmentation ◽

Higher Order ◽

Resolution Image ◽

High Resolution Image ◽

Very High

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