An Application of Geographical Random Forests for Population Estimation in Dakar, Senegal using Very-High-Resolution Satellite Imagery

Mapping Sub-Antarctic Cushion Plants Using Random Forests to Combine Very High Resolution Satellite Imagery and Terrain Modelling

PLoS ONE ◽

10.1371/journal.pone.0072093 ◽

2013 ◽

Vol 8 (8) ◽

pp. e72093 ◽

Cited By ~ 16

Author(s):

Phillippa K. Bricher ◽

Arko Lucieer ◽

Justine Shaw ◽

Aleks Terauds ◽

Dana M. Bergstrom

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Random Forests ◽

Cushion Plants ◽

Very High ◽

Terrain Modelling

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 ◽

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 ◽

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 ◽

Very High ◽

Image Analysis Techniques

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 ◽

Aircraft Detection ◽

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 ◽

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 ◽

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 ◽

Very High ◽

Identification And Quantification

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

10.1117/12.606410 ◽

2005 ◽

Author(s):

Yun Zhang ◽

Gang Hong

Keyword(s):

High Resolution ◽

Image Fusion ◽

Target Detection ◽

Satellite Imagery ◽

Very High ◽

Fusion Approach

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 ◽