Automatic building extraction from very high resolution satellite imagery using line segment detector

Hybrid method for building extraction in vegetation-rich urban areas from very high-resolution satellite imagery

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.11.036017 ◽

2017 ◽

Vol 11 (03) ◽

pp. 1

Author(s):

Ajith S. Jayasekare ◽

Rohan Wickramasuriya ◽

Mohammad-Reza Namazi-Rad ◽

Pascal Perez ◽

Gaurav Singh

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Hybrid Method ◽

Urban Areas ◽

Building Extraction ◽

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 ◽

Automated Building Extraction from High-Resolution Satellite Imagery in Urban Areas Using Structural, Contextual, and Spectral Information

EURASIP Journal on Advances in Signal Processing ◽

10.1155/asp.2005.2196 ◽

2005 ◽

Vol 2005 (14) ◽

Cited By ~ 109

Author(s):

Xiaoying Jin ◽

Curt H. Davis

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Urban Areas ◽

Spectral Information ◽

Building Extraction ◽

High Resolution Satellite Imagery

Object-Based Rule Sets and Its Transferability for Building Extraction from High Resolution Satellite Imagery

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-017-0694-6 ◽

2017 ◽

Vol 46 (2) ◽

pp. 169-178 ◽

Cited By ~ 8

Author(s):

Reza Attarzadeh ◽

Mehdi Momeni

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Building Extraction ◽

Object Based ◽

Rule Sets ◽

High Resolution Satellite Imagery

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