Object-based change detection

By Gang Chen, Geoffrey J. Hay, Luis Marcelo Tavares de Carvalho, M. Wulder. 2012

492 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Media Technology

View Paper: https://www.semanticscholar.org/paper/7ce5027863ef89acd90207fd0fc83a440428a125

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Alistair Lamb
2. A. Tewkesbury
3. Ayesha Shafique
4. Guo Cao
5. Nicholas J. Tate
6. Peter F. Fisher
7. Muhammad Aslam
8. Zia Khan

In Ecology

1. B. Cooke
2. Alistair Lamb
3. Rob S. Skakun
4. A. Tewkesbury
5. R. Hall
6. Guillermo Castilla
7. Nicholas J. Tate
8. Peter F. Fisher

In Media Technology

1. B. Cooke
2. Alistair Lamb
3. Rob S. Skakun
4. A. Tewkesbury
5. Ayesha Shafique
6. R. Hall
7. Guillermo Castilla
8. Guo Cao

Citations in the corpus

• Geographic Object-Based Image Analysis – Towards a new paradigm (2014, unknown): “Among open challenges in GEOBIA are methods describing multi-temporal behaviour (deChant and Kelly, 2009; Chen et al., 2012).”
• A critical synthesis of remotely sensed optical image change detection techniques (2015, methodology): “…1989), changes in viewing geometry (Listner & Niemeyer, 2011a; Lu et al., 2004), scale and the 616 identification of small, ‘sub-area’ change (G. Chen et al., 2012), objects based feature utilisation (G. Chen et al., 617 2012; Hussain et al., 2013) and segmentation consistency and comparison…”
• Deep Learning-Based Change Detection in Remote Sensing Images: A Review (2022, methodology): “Publisher Publication Year Citation [2] Taylor & Francis 1989 4834 [27] Taylor & Francis 2002 60 [28] Taylor & Francis 2004 3595 [29] Taylor & Francis 2012 510 [ To the best of our knowledge, no work has explored the current advancements and mostly-used RS datasets, such as SAR, multispectral,…”
• A Survey on Object Detection in Optical Remote Sensing Images (2016, unknown): “ker and Blaschke, 2008; Walker and Briggs, 2007; Weng, 2009, 2011; Xie et al., 2008; Yu et al., 2006; Zhou, 2013; Zhou et al., 2009; Zhou and Troy, 2008), and change detection (Bontemps et al., 2008; Chen and Hay, 2012; Contreras et al., 2016; Dissanska et al., 2009; Doxani et al., 2012; Doxani et a”
• Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective* (2016, background): “Rather than using individual pixels as analysis units, object-based change detection uses image objects, that is, a group of connected pixels that are more similar between themselves than when compared with their surroundings (Chen et al. 2012).”