Fetching the paper…
Reading the bibliography…
In recent decades, wildfires, as widespread and extremely destructive natural disasters, have caused tremendous property losses and fatalities, as well as extensive damage to forest ecosystems.
Modular learning in neural networks
Dana H. Ballard · 1987
Earlier work this paper cites.
Forest fire risk zone mapping from satellite imagery and gis
Rajeev Kumar Jaiswal, Saumitra Mukherjee, Kumaran D Raju, and Rajesh Saxena · 2002
Earlier work this paper cites.
The modis fire products
CO Justice, Louis Giglio, S Korontzi, J Owens, JT Morisette, D Roy, J Descloitres, S Alleaume, F Petitcolin, and Y Kaufman · 2002
Earlier work this paper cites.
A hedonic valuation of urban green areas
Aurelia Bengochea Morancho · 2003
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Assessment of forest fire seasonality using modis fire potential: A time series approach
Margarita Huesca, Javier Litago, Alicia Palacios-Orueta, Fernando Montes, Ana Sebastián-López, and Paula Escribano · 2009
Earlier work this paper cites.
Landfire: a nationally consistent vegetation, wildland fire, and fuel assessment
Matthew G Rollins · 2009
Earlier work this paper cites.
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, Pierre-Antoine Manzagol, and Léon Bottou · 2010
Earlier work this paper cites.
Introduction to remote sensing
James B Campbell and Randolph H Wynne · 2011
Earlier work this paper cites.
A simulation of probabilistic wildfire risk components for the continental united states
Mark A Finney, Charles W McHugh, Isaac C Grenfell, Karin L Riley, and Karen C Short · 2011
Earlier work this paper cites.
Landsat: Building a strong future
Thomas R Loveland and John L Dwyer · 2012
Earlier work this paper cites.
Sentinels for science: Potential of sentinel-1,-2, and-3 missions for scientific observations of ocean, cryosphere, and land
Zbyněk Malenovskỳ, Helmut Rott, Josef Cihlar, Michael E Schaepman, Glenda García-Santos, Richard Fernandes, and Michael Berger · 2012
Earlier work this paper cites.
Land use classification in remote sensing images by convolutional neural networks
Marco Castelluccio, Giovanni Poggi, Carlo Sansone, and Luisa Verdoliva · 2015
Earlier work this paper cites.
Review of studies on tree species classification from remotely sensed data
Fabian Ewald Fassnacht, Hooman Latifi, Krzysztof Stereńczak, Aneta Modzelewska, Michael Lefsky, Lars T Waser, Christoph Straub, and Aniruddha Ghosh · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Gis-based multi-criteria decision analysis for forest fire risk mapping
Abdullah Emin Akay and Abdullah Erdoğan · 2017
Cited alongside, same era.
Google earth engine: Planetary-scale geospatial analysis for everyone
Noel Gorelick, Matt Hancher, Mike Dixon, Simon Ilyushchenko, David Thau, and Rebecca Moore · 2017
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2017
Cited alongside, same era.
Land cover classification and feature extraction from national agriculture imagery program (naip) orthoimagery: A review
Wildfire hazard potential for the united states (270-m), version 2020
Gregory K Dillon and Julie W Gilbertson-Day · 2020
Later among the works it cites.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Later among the works it cites.
Bootstrap your own latent-a new approach to self-supervised learning
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, et al · 2020
Later among the works it cites.
Forest fire susceptibility prediction based on machine learning models with resampling algorithms on remote sensing data
Bahareh Kalantar, Naonori Ueda, Mohammed O Idrees, Saeid Janizadeh, Kourosh Ahmadi, and Farzin Shabani · 2020
Later among the works it cites.
Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan china
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Aaron E Maxwell, Timothy A Warner, Brian C Vanderbilt, and Christopher A Ramezan · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
Cited alongside, same era.
Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
Patrick Helber, Benjamin Bischke, Andreas Dengel, and Damian Borth · 2019
Cited alongside, same era.
Bigearthnet: A large-scale benchmark archive for remote sensing image understanding
Gencer Sumbul, Marcela Charfuelan, Begüm Demir, and Volker Markl · 2019
Cited alongside, same era.
So2sat lcz42: A benchmark dataset for global local climate zones classification
Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Häberle, Yuansheng Hua, Rong Huang, et al · 2019
Cited alongside, same era.
End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Cited alongside, same era.
Shengjie Liu and Qian Shi · 2020
Later among the works it cites.
Contrastive multiview coding
Yonglong Tian, Dilip Krishnan, and Phillip Isola · 2020
Later among the works it cites.
Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
Later among the works it cites.
Active fire detection in landsat-8 imagery: A large-scale dataset and a deep-learning study
Gabriel Henrique de Almeida Pereira, Andre Minoro Fusioka, Bogdan Tomoyuki Nassu, and Rodrigo Minetto · 2021
Later among the works it cites.
Wildfire in australia during 2019-2020, its impact on health, biodiversity and environment with some proposals for risk management: A review
Md Kamrul Haque, Md Abul Kalam Azad, Md Yeamin Hossain, Tareq Ahmed, Minhaz Uddin, and Md Mukhtar Hossain · 2021
Later among the works it cites.
Corrigendum to: Integrating remotely sensed fuel variables into wildfire danger assessment for china
Xingwen Quan, Qian Xie, Binbin He, Kaiwei Luo, and Xiangzhuo Liu · 2021
Later among the works it cites.
Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
Later among the works it cites.
Self-supervised learning in remote sensing: A review
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, Lichao Mou, and Xiao Xiang Zhu · 2022
Later among the works it cites.