Ontology highlight
ABSTRACT:
SUBMITTER: Hong D
PROVIDER: S-EPMC7453915 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS) 20200901
This paper addresses the problem of semi-supervised transfer learning with limited cross-modality data in remote sensing. A large amount of multi-modal earth observation images, such as multispectral imagery (MSI) or synthetic aperture radar (SAR) data, are openly available on a global scale, enabling parsing global urban scenes through remote sensing imagery. However, their ability in identifying materials (pixel-wise classification) remains limited, due to the noisy collection environment and ...[more]