Geoffrey J. Hay
Ecology · 2003–2014
A researcher in the Science corpus: 6 papers; trusts 10 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 24 citations into it; #7,725 of 10,717 by trust here, #6,687 by citations
- Media Technology — 24 citations into it; #1,112 of 3,621 by trust here, #582 by citations
- Computer Vision and Pattern Recognition — 17 citations into it; #15,443 of 21,575 by trust here, #10,500 by citations
- Global and Planetary Change — 8 citations into it; #2,737 of 10,225 by trust here, #4,502 by citations
- Environmental Engineering — 5 citations into it
Whom Geoffrey J. Hay trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Blaschke
- Serge Beucher
- Charles Burnett
- John F. Canny
- T. Kuhn
- Luc M. Vincent
- David Hawkins
- Peter M. Atkinson
- Pierre Soille
- Herbert A. Simon
Who trusts Geoffrey J. Hay overall
- Thomas Blaschke
- Gong Cheng
- Xin Huang
- Junwei Han
- Urska Kanjir
- Liangpei Zhang
- Harm Greidanus
- Guillermo Castilla
- A. Tewkesbury
- Desheng Liu
Papers from Geoffrey J. Hay's perspective
Ordered by how strongly the researchers Geoffrey J. Hay trusts endorse each paper. Same corpus, a different order for every researcher.
- Textural Features for Image Classification
- What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS
- Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation
- Multi-resolution, object-oriented fuzzy analysis of remote sensing data to GIS ready information (Research on computing science)
- The Architecture of Complexity
- A multi-scale segmentation/object relationship modelling methodology for landscape analysis
- Object-Oriented Image Processing in an Integrated GIS/Remote Sensing Environment and Perspectives for Environmental Applications
- Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery
- Fiat and Bona Fide Boundaries
- Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery (Remote Sensing of Environment)
Their papers
- Geographic Object-Based Image Analysis – Towards a new paradigm (2014) — 1,492 citations
- Object-based change detection (2012) — 492 citations
- Object-Based Image Analysis (2008) — 523 citations
- Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline (2008) — 560 citations
- An automated object-based approach for the multiscale image segmentation of forest scenes (2005) — 378 citations
- A comparison of three image-object methods for the multiscale analysis of landscape structure (2003) — 451 citations