Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

What makes segmentation good? A case study in boreal forest habitat mapping
Aleksi Räsänen, Antti Rusanen, Markku Kuitunen, et al.
International Journal of Remote Sensing (2013) Vol. 34, Iss. 23, pp. 8603-8627
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Random forest in remote sensing: A review of applications and future directions
Mariana Belgiu, Lucian Drăguţ
ISPRS Journal of Photogrammetry and Remote Sensing (2016) Vol. 114, pp. 24-31
Closed Access | Times Cited: 5207
A review of supervised object-based land-cover image classification
Lei Ma, Manchun Li, Xiaoxue Ma, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 130, pp. 277-293
Open Access | Times Cited: 801
Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery
Mariana Belgiu, Lucian Drăguţ
ISPRS Journal of Photogrammetry and Remote Sensing (2014) Vol. 96, pp. 67-75
Open Access | Times Cited: 236
Segmentation quality evaluation using region-based precision and recall measures for remote sensing images
Xueliang Zhang, Xuezhi Feng, Pengfeng Xiao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2015) Vol. 102, pp. 73-84
Closed Access | Times Cited: 132
Supervised methods of image segmentation accuracy assessment in land cover mapping
Hugo Costa, Giles M. Foody, Doreen S. Boyd
Remote Sensing of Environment (2017) Vol. 205, pp. 338-351
Open Access | Times Cited: 122
Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapes
Aleksi Räsänen, Tarmo Virtanen
Remote Sensing of Environment (2019) Vol. 230, pp. 111207-111207
Closed Access | Times Cited: 117
Auxiliary datasets improve accuracy of object-based land use/land cover classification in heterogeneous savanna landscapes
Pekka Hurskainen, Hari Adhikari, Mika Siljander, et al.
Remote Sensing of Environment (2019) Vol. 233, pp. 111354-111354
Open Access | Times Cited: 101
An Open-Source Semi-Automated Processing Chain for Urban Object-Based Classification
Taïs Grippa, Moritz Lennert, Benjamin Beaumont, et al.
Remote Sensing (2017) Vol. 9, Iss. 4, pp. 358-358
Open Access | Times Cited: 79
Leaf trapping and retention of particles by holm oak and other common tree species in Mediterranean urban environments
Tijana Blanuša, Federica Fantozzi, Fabrizio Monaci, et al.
Urban forestry & urban greening (2015) Vol. 14, Iss. 4, pp. 1095-1101
Open Access | Times Cited: 78
Remote sensing imagery segmentation in object-based analysis: A review of methods, optimization, and quality evaluation over the past 20 years
Badia Ez-zahouani, Ana Claúdia Teodoro, Omar El Kharki, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 32, pp. 101031-101031
Closed Access | Times Cited: 19
Using mixed objects in the training of object-based image classifications
Hugo Costa, Giles M. Foody, Doreen S. Boyd
Remote Sensing of Environment (2017) Vol. 190, pp. 188-197
Open Access | Times Cited: 54
SegOptim—A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data
João Gonçalves, Isabel Pôças, Bruno Marcos, et al.
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 76, pp. 218-230
Closed Access | Times Cited: 50
A comparison of unsupervised segmentation parameter optimization approaches using moderate- and high-resolution imagery
Heather Grybas, L. Melendy, Russell G. Congalton
GIScience & Remote Sensing (2017) Vol. 54, Iss. 4, pp. 515-533
Closed Access | Times Cited: 48
Assessing Wildfire Risk in Cultural Heritage Properties Using High Spatial and Temporal Resolution Satellite Imagery and Spatially Explicit Fire Simulations: The Case of Holy Mount Athos, Greece
Giorgos Mallinis, Ιoannis Mitsopoulos, Esteban Beltran, et al.
Forests (2016) Vol. 7, Iss. 2, pp. 46-46
Open Access | Times Cited: 47
Scale Matters: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for Large and Heterogeneous Satellite Images
Stefanos Georganos, Taïs Grippa, Moritz Lennert, et al.
Remote Sensing (2018) Vol. 10, Iss. 9, pp. 1440-1440
Open Access | Times Cited: 46
Remote sensing image analysis by aggregation of segmentation-classification collaborative agents
Andrès Troya-Galvis, Pierre Gançarski, Laure Berti‐Équille
Pattern Recognition (2017) Vol. 73, pp. 259-274
Closed Access | Times Cited: 44
Ensemble classifiers in remote sensing: A review
Rashmi Saini, Sanjay Kumar Ghosh
(2017), pp. 1148-1152
Closed Access | Times Cited: 44
The Development and Application of Machine Learning in Atmospheric Environment Studies
Lianming Zheng, Rui Lin, Xuemei Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4839-4839
Open Access | Times Cited: 31
UAV-based classification of maritime Antarctic vegetation types using GEOBIA and random forest
Maria Eliza Sotille, Ulisses Franz Bremer, Gonçalo Vieira, et al.
Ecological Informatics (2022) Vol. 71, pp. 101768-101768
Closed Access | Times Cited: 21
Coupling high-resolution satellite imagery with ALS-based canopy height model and digital elevation model in object-based boreal forest habitat type classification
Aleksi Räsänen, Markku Kuitunen, Erkki Tomppo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2014) Vol. 94, pp. 169-182
Open Access | Times Cited: 40
On the Objectivity of the Objective Function—Problems with Unsupervised Segmentation Evaluation Based on Global Score and a Possible Remedy
Sebastian Böck, Markus Immitzer, Clement Atzberger
Remote Sensing (2017) Vol. 9, Iss. 8, pp. 769-769
Open Access | Times Cited: 36
Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis
Andrès Troya-Galvis, Pierre Gançarski, Nicolas Passat, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2015) Vol. 8, Iss. 5, pp. 1936-1945
Open Access | Times Cited: 35
Integrative image segmentation optimization and machine learning approach for high quality land-use and land-cover mapping using multisource remote sensing data
Mohamed Barakat A. Gibril, Mohammed Oludare Idrees, Kuoame Yao, et al.
Journal of Applied Remote Sensing (2018) Vol. 12, Iss. 01, pp. 1-1
Closed Access | Times Cited: 35
Toward Evaluating Multiscale Segmentations of High Spatial Resolution Remote Sensing Images
Xueliang Zhang, Pengfeng Xiao, Xuezhi Feng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2015) Vol. 53, Iss. 7, pp. 3694-3706
Closed Access | Times Cited: 34
Pixel- and Object-Based ensemble learning for forest burn severity using USGS FIREMON and Mediterranean condition dNBRs in Aegean ecosystem (Turkey)
Hasan Tonbul, İsmail Çölkesen, Taşkın Kavzoğlu
Advances in Space Research (2022) Vol. 69, Iss. 10, pp. 3609-3632
Closed Access | Times Cited: 16
Page 1 - Next Page

Scroll to top