Nicholas J. Tate

Media Technology · 2006–2015

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 18 citations into it; #3,259 of 3,621 by trust here, #2,280 by citations
• Atmospheric Science — 17 citations into it; #4,119 of 4,804 by trust here, #2,873 by citations
• Ecology — 14 citations into it; #8,784 of 10,717 by trust here, #7,949 by citations
• Global and Planetary Change — 8 citations into it
• Environmental Engineering — 7 citations into it; #2,861 of 5,479 by trust here, #3,356 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Nicholas J. Tate trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Keith Beven
2. Lorenzo Bruzzone
3. Francesca Bovolo
4. Jungho Im
5. Thomas Blaschke
6. Annemarie Schneider
7. Michael F. Goodchild
8. John F. Canny
9. Michele Crosetto

Who trusts Nicholas J. Tate overall

1. Joachim Höhle
2. Zhenwei Shi
3. Michael Höhle

Papers from Nicholas J. Tate's perspective

Ordered by how strongly the researchers Nicholas J. Tate trusts endorse each paper. Same corpus, a different order for every researcher.

1. PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite data
2. Automatic analysis of the difference image for unsupervised change detection (IEEE Transactions on Geoscience and Remote Sensing)
3. A Computational Approach to Edge Detection
4. A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain (IEEE Transactions on Geoscience and Remote Sensing)
5. A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images (IEEE Transactions on Geoscience and Remote Sensing)
6. A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images (Proceedings of the IEEE)
7. Change detection techniques
8. Object‐based change detection using correlation image analysis and image segmentation
9. Object-based classification of remote sensing data for change detection
10. Object based image analysis for remote sensing

Their papers

• A critical synthesis of remotely sensed optical image change detection techniques (2015) — 496 citations
• Differentiation between neotropical rainforest, dry forest, and savannah ecosystems by their modern pollen spectra and implications for the fossil pollen record. (2009) — 174 citations
• Estimating tree and stand variables in a Corsican Pine woodland from terrestrial laser scanner data (2009) — 142 citations
• Causes and consequences of error in digital elevation models (2006) — 501 citations