Grand Challenges in Remote Sensing Image Analysis and Classification

被引：8
作者：
Small, Christopher [1 ]
机构：
[1] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA
来源：
FRONTIERS IN REMOTE SENSING | 2021年 / 1卷
关键词：
image analysis; remote sensing; classification; machine learning; standards;
D O I：
10.3389/frsen.2020.605220
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
[No abstract available]
引用
收藏
页数：4
相关论文
共 11 条
[1]  
Achille A., 2019, EMERGENT PROPERTIES, P119
[2]  
[Anonymous], 2018, The Atlantic
[3]  
Doshi-Velez F, 2017, Arxiv, DOI arXiv:1702.08608
[4]  
Escalante H.J, 2018, Explainable and interpretable models in computer vision and machine learning
[5]   A new approach for interpreting Random Forest models and its application to the biology of ageing [J].
Fabris, Fabio ;
Doherty, Aoife ;
Palmer, Daniel ;
de Magalhaes, Joao Pedro ;
Freitas, Alex A. .
BIOINFORMATICS, 2018, 34 (14) :2449-2456
[6]   Is science really facing a reproducibility crisis, and do we need it to? [J].
Fanelli, Daniele .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2018, 115 (11) :2628-2631
[7]   Why most published research findings are false [J].
Ioannidis, JPA .
PLOS MEDICINE, 2005, 2 (08) :696-701
[8]  
Knight W, 2017, TECHNOL REV, V120, P54
[9]  
Molnar C., 2020, INTERPRETABLE MACHIN, P315
[10]  
Palczewska A., 2014, INTEGRATION REUSABLE
12