Rule-Based Classification Systems Using Classification and Regression Tree (CART) Analysis

By Rick L. Lawrence. 2001

374 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0a3cec5d1c1c1ba8ee2ce44dcae1b2bcc93c5519

How researchers see this paper

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

1. Rick L. Lawrence
2. Emmanuel Baltsavias
3. A. Bunn
4. Scott L. Powell
5. M. Zambon
6. S. Klesse
7. K. Dodds
8. Jixian Zhang

Citations in the corpus

• Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis (2004, methodology): “…data set used was Landsat ETM+ imagery from the Greater Yellowstone Ecosystem (GYE) in Montana, Wyoming, and Idaho acquired in the summer, fall, and winter of 1999 and 2000 (registration error among all images less than 0.5 RMSE), together with extensive ancillary data (Lawrence & Wright, 2001).”
• Object extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems☆ (2004, background): “…al. (1999), Yu et al. (1999), Coulter et al. (1999), Smits and Annoni (1999), Ramparany and Sandt (1999), Ricchetti (2000), Largouet and Cordier (2001), Lawrence and Wright (2001), Liu et al. (2002), Pakzad (2002), Liu et al. (2002), Le Men et al. (2002), Wassenaar et al. (2002), Teng and…”