A Framework for the Development and Assessment of Object Recognition Modules from High-Resolution Satellite Images

How to involve structural modeling for cartographic object recognition tasks in high-resolution satellite images?

Pattern Recognition Letters ◽

10.1016/j.patrec.2010.01.013 ◽

2010 ◽

Vol 31 (10) ◽

pp. 1109-1119 ◽

Cited By ~ 5

Author(s):

Guray Erus ◽

Nicolas Loménie

Keyword(s):

Object Recognition ◽

High Resolution ◽

Satellite Images ◽

Structural Modeling ◽

An automatic geo-spatial object recognition algorithm for high resolution satellite images

10.1117/12.2029136 ◽

2013 ◽

Cited By ~ 1

Author(s):

Mustafa Ergul ◽

A. Aydın Alatan

Keyword(s):

Object Recognition ◽

High Resolution ◽

Satellite Images ◽

Recognition Algorithm ◽

Spatial Object ◽

Small object recognition techniques based on structured template matching for high-resolution satellite images

2008 SICE Annual Conference ◽

10.1109/sice.2008.4655022 ◽

2008 ◽

Cited By ~ 9

Author(s):

Toshio Modegi

Keyword(s):

Object Recognition ◽

High Resolution ◽

Template Matching ◽

Satellite Images ◽

Small Object ◽

Small Object Recognition Techniques Based on Structured Template Matching for High-Resolution Satellite Images

Object Recognition ◽

10.5772/14257 ◽

2011 ◽

Author(s):

Toshio Modegi ◽

Tomoaki Inazawa ◽

Tsugio Chiba ◽

Chiaki Kobayashi

Keyword(s):

Object Recognition ◽

High Resolution ◽

Template Matching ◽

Satellite Images ◽

Small Object ◽

A HETEROGENEOUS APPROACH TO EXTRACT INFORMATION FROM HIGH RESOLUTION SATELLITE IMAGES

i-manager’s Journal on Image Processing ◽

10.26634/jip.4.3.13916 ◽

2017 ◽

Vol 4 (3) ◽

pp. 1

Author(s):

SAMUNDEESWARI V. VIJAYA ◽

Keyword(s):

High Resolution ◽

Satellite Images ◽

Extract Information

An Approach for Building Rooftop Border Extraction from Very High-Resolution Satellite Images

Geocarto International ◽

10.1080/10106049.2021.1892207 ◽

2021 ◽

pp. 1-11

Author(s):

Yasser Mostafa ◽

Mahmoud Nokrashy O. Ali ◽

Faten Mostafa ◽

Mohamed Yousef

Keyword(s):

High Resolution ◽

Satellite Images ◽

Very High

Feature selection for tree species identification in very high resolution satellite images

2011 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2011.6132538 ◽

2011 ◽

Cited By ~ 1

Author(s):

Matthieu Molinier ◽

Heikki Astola

Keyword(s):

Feature Selection ◽

High Resolution ◽

Species Identification ◽

Tree Species ◽

Satellite Images ◽

Selection For ◽

Very High

An Efficient Automated Road Region Extraction from High Resolution Satellite Images using Improved Cuckoo Search with Multi-Level Thresholding Schema

Procedia Computer Science ◽

10.1016/j.procs.2020.03.418 ◽

2020 ◽

Vol 167 ◽

pp. 1161-1170

Author(s):

J.D. Dorathi Jayaseeli ◽

D. Malathi

Keyword(s):

High Resolution ◽

Satellite Images ◽

Cuckoo Search ◽

Region Extraction ◽

Multi Level

Ship Navigation Route Planning Using Topology of Sea Ice Channels Extracted from High Resolution Satellite Images

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9324159 ◽

2020 ◽

Author(s):

Xi Chen ◽

Wei Sheti ◽

Huan Li ◽

Yaokui Cui ◽

Zengliang Luo ◽

...

Keyword(s):

High Resolution ◽

Sea Ice ◽

Satellite Images ◽

Route Planning ◽

Ship Navigation

2020 39th International Conference of the Chilean Computer Science Society (SCCC) ◽

Vegetation cover estimation from high-resolution satellite images based on chromatic characteristics and image processing

10.1109/sccc51225.2020.9281247 ◽

2020 ◽

Author(s):

Herwin Alayn Huillcen Baca ◽

Flor de Luz Palomino Valdivia ◽

Julia Iraida Ortiz Guizado ◽

Yalmar Ponce Atencio ◽

Fidelia Tapia Tadeo

Keyword(s):

Image Processing ◽

High Resolution ◽

Vegetation Cover ◽

Satellite Images ◽