Object-Based Image Analysis
By Thomas Blaschke, S. Lang, Geoffrey J. Hay. 2008
523 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biophysics, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Junwei Han
- Gong Cheng
- Xiaoqiang Lu
- Lei Guo
- Xingxing Xie
- Thomas Blaschke
- Guisong Xia
- Muhammad Hussain
In Biophysics
In Computer Vision and Pattern Recognition
Citations in the corpus
- Remote Sensing Image Scene Classification: Benchmark and State of the Art (2017, methodology): “ts of interest [69]. Most of the methods for image analysis using remote sensing images developed since the early 1970s are based on per-pixel analysis, or even sub-pixel analysis for this conversion [69, 70, 71, 72]. With the advances of remote sensing technology, the spatial resolution is graduall”
- Geographic Object-Based Image Analysis – Towards a new paradigm (2014, unknown): “Several international journals dedicated special issues to GEO-BIA including GIS – Zeitschrift für Geoinformationssysteme Several books are dedicated to OBIA and GEOBIA topics, most notably the Springer book edited by Blaschke et al. (2008).”
- Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities (2020, background): “Subsequently, a series of approaches to analyze remote remote sensing images at object level has dominated remote sensing image analysis for the last two decades [33]–[36].”
- Object based image analysis for remote sensing (2010, background): “…Navulur, 2007; Radoux and Defourny, 2007; Stow et al., 2007; Durieux et al., 2008; Conchedda et al., 2008; Grenier et al., 2008; Lang et al., 2008; Jacquin et al., 2008; Jobin et al., 2008; Blaschke et al., 2008; Tiede et al., 2008; Aubrecht et al., 2008; van der Werff and van der Meer, 2008).”