An Object-Based Approach for Forest-Cover Change Detection using Multi-Temporal High-Resolution Remote Sensing Data

2009 International Conference on Environmental Science and Information Application Technology ◽

10.1109/esiat.2009.163 ◽

2009 ◽

Cited By ~ 6

Author(s):

Jun Huang ◽

Youchuan Wan ◽

Shaohong Shen

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Forest Cover ◽

Remote Sensing Data ◽

Forest Cover Change ◽

Sensing Data ◽

Object Based ◽

Multi Temporal

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An Object Based Analysis Applied to Very High Resolution Remote Sensing Data for the Change Detection of Soil Sealing at Urban Scale

Recent Advances of Neural Network Models and Applications - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-319-04129-2_16 ◽

2014 ◽

pp. 155-162 ◽

Cited By ~ 1

Author(s):

Luca Pugliese ◽

Silvia Scarpetta

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Remote Sensing Data ◽

Sensing Data ◽

Soil Sealing ◽

Object Based ◽

Very High

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A Comparison of Object-Based with Pixel-Based Land Cover Change Detection in the Baltimore Metropolitan Area using Multitemporal High Resolution Remote Sensing Data

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2008.4779814 ◽

2008 ◽

Cited By ~ 3

Author(s):

Weiqi Zhou ◽

Austin Troy ◽

Morgan Grove

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Land Cover ◽

Change Detection ◽

Land Cover Change ◽

Metropolitan Area ◽

Remote Sensing Data ◽

Sensing Data ◽

Object Based ◽

Land Cover Change Detection

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Iterative Spectral Index Ratio Exploration for Object-based Image Analysis of Antarctic Coastal Oasis Using High Resolution Satellite Remote Sensing Data

Aquatic Procedia ◽

10.1016/j.aqpro.2015.02.022 ◽

2015 ◽

Vol 4 ◽

pp. 157-164 ◽

Cited By ~ 7

Author(s):

S.D. Jawak ◽

D.A. Raut ◽

A.J. Luis

Keyword(s):

Remote Sensing ◽

Image Analysis ◽

High Resolution ◽

Spectral Index ◽

Satellite Remote Sensing ◽

Remote Sensing Data ◽

Sensing Data ◽

Object Based Image Analysis ◽

Object Based ◽

Index Ratio

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Forest Cover Change Analysis in Sundarban Delta Using Remote Sensing Data and GIS

Studies in Computational Intelligence - Intelligent Computing Paradigm: Recent Trends ◽

10.1007/978-981-13-7334-3_7 ◽

2019 ◽

pp. 85-101 ◽

Cited By ~ 1

Author(s):

K. Kundu ◽

P. Halder ◽

J. K. Mandal

Keyword(s):

Remote Sensing ◽

Forest Cover ◽

Remote Sensing Data ◽

Forest Cover Change ◽

Change Analysis ◽

Sensing Data

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Toward operational monitoring of forest cover change in California using multitemporal remote sensing data

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) ◽

10.1109/igarss.2001.978266 ◽

2002 ◽

Cited By ~ 2

Author(s):

J. Rogan ◽

J. Franklin ◽

D. Stow ◽

L. Levien ◽

C. Fischer

Keyword(s):

Remote Sensing ◽

Forest Cover ◽

Remote Sensing Data ◽

Forest Cover Change ◽

Operational Monitoring ◽

Sensing Data ◽

Multitemporal Remote Sensing

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Object-based Land Cover Classification and Change Analysis in the Baltimore Metropolitan Area Using Multitemporal High Resolution Remote Sensing Data

Sensors ◽

10.3390/s8031613 ◽

2008 ◽

Vol 8 (3) ◽

pp. 1613-1636 ◽

Cited By ~ 153

Author(s):

Weiqi Zhou ◽

Austin Troy ◽

Morgan Grove

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Land Cover ◽

Metropolitan Area ◽

Remote Sensing Data ◽

Land Cover Classification ◽

Change Analysis ◽

Sensing Data ◽

Object Based ◽

Baltimore Metropolitan Area

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Separate segmentation of multi-temporal high-resolution remote sensing images for object-based change detection in urban area

Remote Sensing of Environment ◽

10.1016/j.rse.2017.09.022 ◽

2017 ◽

Vol 201 ◽

pp. 243-255 ◽

Cited By ~ 21

Author(s):

Xueliang Zhang ◽

Pengfeng Xiao ◽

Xuezhi Feng ◽

Min Yuan

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Urban Area ◽

Remote Sensing Images ◽

Object Based ◽

Multi Temporal

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Rapid urban flood damage assessment using high resolution remote sensing data and an object-based approach

Geomatics Natural Hazards and Risk ◽

10.1080/19475705.2020.1760360 ◽

2020 ◽

Vol 11 (1) ◽

pp. 906-927 ◽

Cited By ~ 2

Author(s):

Sergio Iván Jiménez-Jiménez ◽

Waldo Ojeda-Bustamante ◽

Ronald Ernesto Ontiveros-Capurata ◽

Mariana de Jesús Marcial-Pablo

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Damage Assessment ◽

Remote Sensing Data ◽

Flood Damage ◽

Urban Flood ◽

Sensing Data ◽

Object Based ◽

Flood Damage Assessment

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Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data

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

10.1109/jstars.2016.2557081 ◽

2016 ◽

Vol 9 (7) ◽

pp. 2940-2951 ◽

Cited By ~ 14

Author(s):

Maria Vakalopoulou ◽

Konstantinos Karantzalos ◽

Nikos Komodakis ◽

Nikos Paragios

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Remote Sensing Data ◽

Sensing Data ◽

Multitemporal Remote Sensing ◽

Very High

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Object Based Change Detection for Remote Sensing Data

International Conference on Aerospace Sciences and Aviation Technology ◽

10.21608/asat.2011.23241 ◽

2011 ◽

Vol 14 (AEROSPACE SCIENCES) ◽

pp. 1-10

Author(s):

I. Khalifa ◽

F. El Tohamy ◽

I. Aqabat

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Remote Sensing Data ◽

Sensing Data ◽

Object Based

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