Multiscale Superpixel-Guided Weighted Graph Convolutional Network for Polarimetric SAR Image Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3355290
Abstract: Polarimetric synthetic aperture radar (PolSAR) has attracted more attentions because of its excellent observation ability, and PolSAR image classification has become one of the significant tasks in remote sensing interpretation. Various types and sizes of… read more here.
Keywords: classification; weighted graph; graph convolutional; convolutional network ... See more keywords
Multiscale Superpixel-Level Subspace-Based Support Vector Machines for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2755061
Abstract: This letter introduces a new spectral–spatial classification method for hyperspectral images. A multiscale superpixel segmentation is first used to model the distribution of classes based on spatial information. In this context, the original hyperspectral image… read more here.
Keywords: classification; multiscale superpixel; subspace based; hyperspectral image ... See more keywords
Multiscale Superpixel-Based Active Learning for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3054793
Abstract: This letter proposes a novel active learning (AL) framework that utilizes the information derived from multiscale superpixel maps for the classification of hyperspectral image. Considering that the nearby pixels with similar spectral properties tend to… read more here.
Keywords: active learning; multiscale superpixel; superpixel; classification ... See more keywords