A fully learnable context-driven object-based model for mapping land cover using multi-view data from unmanned aircraft systems-Reference-Cited by-同舟云学术

A fully learnable context-driven object-based model for mapping land cover using multi-view data from unmanned aircraft systems

Published:2018-10 Issue: Volume:216 Page:328-344
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Liu Tao,Abd-Elrahman Amr,Zare Alina,Dewitt Bon A.,Flory Luke,Smith Scot E.

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference89 articles.

1. Rectified linear units improve restricted boltzmann machines;Nair,2010

2. Loopy belief propagation for approximate inference: an empirical study;Murphy,1999

3. Classification of ASAS multiangle and multispectral measurements using artificial neural networks;Abuelgasim;Remote Sens. Environ.,1996

4. Spatially-explicit Modeling of Multi-scale Drivers of Aboveground Forest Biomass and Water Yield in Watersheds of the Southeastern United States;Ajaz Ahmed,2017

5. A higher order conditional random field model for simultaneous classification of land cover and land use;Albert;ISPRS J. Photogramm. Remote Sens.,2017

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