A wavelet integrated image fusion approach for target detection in very high resolution satellite imagery

A multiscale feature fusion approach for classification of very high resolution satellite imagery based on wavelet transform

International Journal of Remote Sensing ◽

10.1080/01431160802139922 ◽

2008 ◽

Vol 29 (20) ◽

pp. 5923-5941 ◽

Cited By ~ 34

Author(s):

X. Huang ◽

L. Zhang ◽

P. Li

Keyword(s):

Wavelet Transform ◽

High Resolution ◽

Satellite Imagery ◽

Feature Fusion ◽

High Resolution Satellite Imagery ◽

Very High ◽

Fusion Approach

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Performance Improvement of Encoder/Decoder-Based CNN Architectures for Change Detection from Very High-Resolution Satellite Imagery

Canadian Journal of Remote Sensing ◽

10.1080/07038992.2021.1922880 ◽

2021 ◽

pp. 1-28

Author(s):

Evangelos Bousias Alexakis ◽

Costas Armenakis

Keyword(s):

High Resolution ◽

Change Detection ◽

Performance Improvement ◽

Satellite Imagery ◽

High Resolution Satellite Imagery ◽

Very High

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Mapping private gardens in urban areas using object-oriented techniques and very high-resolution satellite imagery

Landscape and Urban Planning ◽

10.1016/j.landurbplan.2006.11.009 ◽

2007 ◽

Vol 81 (3) ◽

pp. 179-192 ◽

Cited By ~ 191

Author(s):

Renaud Mathieu ◽

Claire Freeman ◽

Jagannath Aryal

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Urban Areas ◽

Object Oriented ◽

High Resolution Satellite Imagery ◽

Very High

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Image Analysis Techniques for Urban Land Use Classification. The Use of Kernel Based Approaches to Process Very High Resolution Satellite Imagery

Machine Vision and Advanced Image Processing in Remote Sensing ◽

10.1007/978-3-642-60105-7_11 ◽

1999 ◽

pp. 121-133

Author(s):

Charalambos C. Kontoes

Keyword(s):

Land Use ◽

Image Analysis ◽

High Resolution ◽

Satellite Imagery ◽

Urban Land Use ◽

Land Use Classification ◽

Analysis Techniques ◽

High Resolution Satellite Imagery ◽

Very High ◽

Image Analysis Techniques

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Automatic aircraft detection in very-high-resolution satellite imagery using a YOLOv3-based process

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.15.018502 ◽

2021 ◽

Vol 15 (01) ◽

Author(s):

Yu-Ching Lin ◽

Wei-De Chen

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

High Resolution Satellite Imagery ◽

Aircraft Detection ◽

Very High

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A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2020.11.001 ◽

2021 ◽

Vol 171 ◽

pp. 101-117

Author(s):

Farzaneh Dadrass Javan ◽

Farhad Samadzadegan ◽

Soroosh Mehravar ◽

Ahmad Toosi ◽

Reza Khatami ◽

...

Keyword(s):

High Resolution ◽

Image Fusion ◽

Satellite Imagery ◽

High Resolution Satellite Imagery

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Assessing the performance of the multi-morphological profiles in urban land cover mapping using pixel based classifiers and very high resolution satellite imagery

Scientific African ◽

10.1016/j.sciaf.2020.e00629 ◽

2020 ◽

Vol 10 ◽

pp. e00629

Author(s):

L.T. Tsoeleng ◽

J. Odindi ◽

P. Mhangara ◽

O. Malahlela

Keyword(s):

High Resolution ◽

Land Cover ◽

Satellite Imagery ◽

Urban Land ◽

Land Cover Mapping ◽

Urban Land Cover ◽

High Resolution Satellite Imagery ◽

Very High

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Using very high resolution satellite imagery for land cover mapping in Pico Da Vara Nature Reserve (S. Miguel Island, Archipelago of the Azores, Portugal)

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2015.7326531 ◽

2015 ◽

Cited By ~ 1

Author(s):

Artur Gil ◽

Mohamed Abadi

Keyword(s):

High Resolution ◽

Land Cover ◽

Satellite Imagery ◽

Nature Reserve ◽

Land Cover Mapping ◽

High Resolution Satellite Imagery ◽

Very High

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Operationalizing measurement of forest degradation: Identification and quantification of charcoal production in tropical dry forests using very high resolution satellite imagery

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2015.02.001 ◽

2015 ◽

Vol 39 ◽

pp. 18-27 ◽

Cited By ~ 7

Author(s):

K. Dons ◽

C. Smith-Hall ◽

H. Meilby ◽

R. Fensholt

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Forest Degradation ◽

Tropical Dry Forests ◽

Charcoal Production ◽

Dry Forests ◽

High Resolution Satellite Imagery ◽

Very High ◽

Identification And Quantification

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Semantic Classification of Urban Trees Using Very High Resolution Satellite Imagery

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

10.1109/jstars.2016.2645798 ◽

2017 ◽

Vol 10 (4) ◽

pp. 1413-1424 ◽

Cited By ~ 17

Author(s):

Dawei Wen ◽

Xin Huang ◽

Hui Liu ◽

Wenzhi Liao ◽

Liangpei Zhang

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Urban Trees ◽

Semantic Classification ◽

High Resolution Satellite Imagery ◽

Very High

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