Urban tree canopy detection using object-based image analysis for very high resolution satellite images: A literature review

2015 International Conference on Technologies for Sustainable Development (ICTSD) ◽

10.1109/ictsd.2015.7095889 ◽

2015 ◽

Author(s):

Sarika Yadav ◽

Imdad Rizvi ◽

Shailaja Kadam

Keyword(s):

Image Analysis ◽

High Resolution ◽

Satellite Images ◽

Tree Canopy ◽

Object Based Image Analysis ◽

Object Based ◽

High Resolution Satellite Images ◽

Urban Tree Canopy ◽

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Urban Tree Canopy Detection Using Object-Based Image Analysis Approach for High-Resolution Satellite Imagery

Techno-Societal 2016 ◽

10.1007/978-3-319-53556-2_27 ◽

2017 ◽

pp. 275-281

Author(s):

Sujata R. Kadu ◽

Balaji G. Hogade ◽

Imdad Rizvi

Keyword(s):

Image Analysis ◽

High Resolution ◽

Satellite Imagery ◽

Tree Canopy ◽

Analysis Approach ◽

Object Based Image Analysis ◽

Object Based ◽

Urban Tree Canopy ◽

High Resolution Satellite Imagery

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Object-Based Image Analysis of High-Resolution Satellite Images Using Modified Cloud Basis Function Neural Network and Probabilistic Relaxation Labeling Process

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2011.2171695 ◽

2011 ◽

Vol 49 (12) ◽

pp. 4815-4820 ◽

Author(s):

I. A. Rizvi ◽

B. K. Mohan

Keyword(s):

Neural Network ◽

Image Analysis ◽

High Resolution ◽

Basis Function ◽

Satellite Images ◽

Relaxation Labeling ◽

Object Based Image Analysis ◽

Object Based ◽

High Resolution Satellite Images ◽

Probabilistic Relaxation

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Object-based image analysis of post-tsunami high-resolution satellite images for mapping the impact of tsunami disaster

2011 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2011.6049519 ◽

2011 ◽

Author(s):

Shunichi Koshimura ◽

Shintaro Kayaba ◽

Hideomi Gokon

Keyword(s):

Image Analysis ◽

High Resolution ◽

Satellite Images ◽

Tsunami Disaster ◽

Object Based Image Analysis ◽

Object Based ◽

High Resolution Satellite Images ◽

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Using of high-resolution satellite images in object-based image analysis

Eurasian Journal of Forest Science ◽

10.31195/ejejfs.603510 ◽

2019 ◽

Author(s):

Hüseyin Yurtseven ◽

Hakan Yener

Keyword(s):

Image Analysis ◽

High Resolution ◽

Satellite Images ◽

Object Based Image Analysis ◽

Object Based ◽

High Resolution Satellite Images

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Building Footprint Extraction from Very-High-Resolution Satellite Image Using Object-Based Image Analysis (OBIA) Technique

Lecture Notes in Civil Engineering - Applications of Geomatics in Civil Engineering ◽

10.1007/978-981-13-7067-0_41 ◽

2019 ◽

pp. 517-529 ◽

Author(s):

A. P. Prathiba ◽

Kriti Rastogi ◽

Gaurav V. Jain ◽

V. V. Govind Kumar

Keyword(s):

Image Analysis ◽

High Resolution ◽

Satellite Image ◽

Object Based Image Analysis ◽

Object Based ◽

Building Footprint ◽

High Resolution Satellite Image ◽

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Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images

International Journal of Digital Earth ◽

10.1080/17538947.2020.1831087 ◽

2020 ◽

pp. 1-22

Author(s):

Shouji Du ◽

Shihong Du ◽

Bo Liu ◽

Xiuyuan Zhang

Keyword(s):

Remote Sensing ◽

Image Analysis ◽

High Resolution ◽

Semantic Segmentation ◽

Remote Sensing Images ◽

Object Based Image Analysis ◽

Object Based ◽

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Evaluation of object-based image analysis techniques on very high-resolution satellite image for biomass estimation in a watershed of hilly forest of Nepal

Applied Geomatics ◽

10.1007/s12518-014-0126-z ◽

2014 ◽

Vol 6 (1) ◽

pp. 59-68 ◽

Author(s):

Yousif Ali Hussin ◽

Hammad Gilani ◽

Louise van Leeuwen ◽

M. S. R. Murthy ◽

Rachna Shah ◽

...

Keyword(s):

Image Analysis ◽

High Resolution ◽

Satellite Image ◽

Biomass Estimation ◽

Analysis Techniques ◽

Object Based Image Analysis ◽

Object Based ◽

High Resolution Satellite Image ◽

Very High ◽

Image Analysis Techniques

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High-resolution tree canopy mapping for New York City using LIDAR and object-based image analysis

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.6.063567 ◽

2012 ◽

Vol 6 (1) ◽

pp. 063567-1 ◽

Author(s):

Sean W. MacFaden ◽

Jarlath P.M. O’Neil-Dunne ◽

Anna R. Royar ◽

Jacqueline W.T. Lu ◽

Andrew G. Rundle

Keyword(s):

New York ◽

New York City ◽

Image Analysis ◽

High Resolution ◽

York City ◽

Tree Canopy ◽

Object Based Image Analysis ◽

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Support Vector Machines for Object Based Building Extraction in Suburban Area using Very High Resolution Satellite Images, a Case Study: Tetuan, Morocco

IAES International Journal of Artificial Intelligence (IJ-AI) ◽

10.11591/ij-ai.v2i1.1781 ◽

2013 ◽

Vol 2 (1) ◽

Author(s):

Omar Benarchid ◽

Naoufal Raissouni

Keyword(s):

Support Vector Machines ◽

High Resolution ◽

Satellite Images ◽

Support Vector ◽

Building Extraction ◽

Object Based ◽

High Resolution Satellite Images ◽

Vector Machines ◽

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Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2016.04.005 ◽

2016 ◽

Vol 51 ◽

pp. 60-73 ◽

Author(s):

Simon Rougier ◽

Anne Puissant ◽

André Stumpf ◽

Nicolas Lachiche

Keyword(s):

High Resolution ◽

Satellite Images ◽

Urban Vegetation ◽

Sampling Strategies ◽

Object Based ◽

High Resolution Satellite Images ◽

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