An automated object-based approach for the multiscale image segmentation of forest scenes

By Geoffrey J. Hay, Guillermo Castilla, M. Wulder, J. Ruiz. 2005

378 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Media Technology

View Paper: https://www.semanticscholar.org/paper/8f536a0e4f02a9b8b641090147b0eaeb348092a3

How researchers see this paper

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

In Ecology

1. Gong Cheng
2. Junwei Han
3. Huimin Wei
4. Masroor Hussain
5. Angela Cheng
6. Dongmei Chen
7. D. Stanley
8. Yang Shao

In Global and Planetary Change

1. Harm Greidanus
2. Gong Cheng
3. Kristof Ostir
4. Urska Kanjir
5. Yang Shao
6. Thomas Blaschke
7. Junwei Han

In Media Technology

1. Gong Cheng
2. Junwei Han
3. Huimin Wei
4. Masroor Hussain
5. Angela Cheng
6. Dongmei Chen
7. D. Stanley
8. Harm Greidanus

Citations in the corpus

• Change detection from remotely sensed images: From pixel-based to object-based approaches (2013, background): “This makes it difficult to define single or most appropriate segmentation parameters in order to enable the creation of optimized objects reliably and accurately (Hay et al., 2005; Kim et al., 2008).”
• QuickBird and Hyperion data analysis of an invasive plant species in the Galapagos Islands of Ecuador: Implications for control and land use management (2008, methodology): “(Hay et al., 2005), because, in part, of the improved availability of higher spatial resolution, remote sensing imagery for landscape analysis and the development of robust OBIA methods (Blaschke et al., 2000, Blaschke & Hay, 2001).”
• Object based image analysis for remote sensing (2010, background): “…that they are built on image segmentation (see also Burnett and Blaschke (2003), Hay et al. (2003), Benz et al. (2004), Liu et al. (2006), Blaschke et al. (2004), Hay et al. (2005), Blaschke and Lang (2006), Lang and Blaschke (2006), Lang (2008), Hay and Castilla (2008) and Blaschke et al. (2008)).”
• ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data (2010, neutral): “2004, Hay et al .”
• A Survey on Object Detection in Optical Remote Sensing Images (2016, methodology): “In parallel, aiming at the automation of the segmentation process in OBIA, a suite of techniques (Ardila et al., 2012; Drăguţ et al., 2014; Drăguţ and Eisank, 2012; Esch et al., 2008; Hay et al., 2005) have also been developed.”
• Vessel detection and classification from spaceborne optical images: A literature survey (2018, methodology): “The demand for automated analytical methods for remote sensing data is driven by the plethora of existing Earth-orbiting sensors and their daily generation of terabytes of data with different spatial, spectral, radiometric and temporal resolution (Hay et al., 2005).”