Hyperspectral Image Classification via Matching Absorption Features
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940268
Abstract: In this paper, we propose to extract spectral absorptions as the discriminative features to classify hyperspectral imagery. Different from previous researches that mainly take hyperspectral curves as high-dimensional inputs, we analyze hyperspectral data more from… read more here.
Keywords: absorption features; hyperspectral image; image classification; absorption ... See more keywords
Land-Use Classification via Extreme Learning Classifier Based on Deep Convolutional Features
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2672643
Abstract: One of the challenging issues in high-resolution remote sensing images is classifying land-use scenes with high quality and accuracy. An effective feature extractor and classifier can boost classification accuracy in scene classification. This letter proposes… read more here.
Keywords: classification; classifier; extreme learning; use classification ... See more keywords