Work

Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

Year: 2015

Type: article

Source: ISPRS Journal of Photogrammetry and Remote Sensing

DOI: 10.1016/j.isprsjprs.2015.03.002

Authors: Peijun Du, Alim Samat, Björn Waske, Sicong Liu, Zhenhong Li

Institutions: Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University, Freie Universität Berlin, University of Trento, Newcastle University

Language: English

Topic: Synthetic Aperture Radar (SAR) Applications and Techniques

Subfield: Geophysics

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Natural Environment Research Council

Awards: G1309809334, G3547299380, G7635252134

OpenAlex ID: W1996061706

FWCI: 27.06

Cites: 48

Cited by: 486

Related to: 9