Examining the effectiveness of weighted spectral mixture analysis (WSMA) in urban environments
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1539270
Abstract: ABSTRACT Spectral mixture analysis (SMA) has been widely applied for estimating fractional land-cover types from remote sensing pixels. SMA typically assumes each spectral band has equal contribution to the unmixing results, which has attracted debates… read more here.
Keywords: spectral mixture; class variance; urban environments; wsma ... See more keywords
Class-Center-Based Self-Knowledge Distillation: A Simple Method to Reduce Intra-Class Variance
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14167022
Abstract: Recent inter-sample self-distillation methods that spread knowledge across samples further improve the performance of deep models on multiple tasks. However, their existing implementations introduce additional sampling and computational overhead. Therefore, in this work, we propose… read more here.
Keywords: class variance; class center; class; distillation ... See more keywords