Aligning semantic distribution in fusing optical and SAR images for land use classification

Author:

Li Wangbin,Sun Kaimin,Li WenzhuoORCID,Wei Jinjiang,Miao Shunxia,Gao Song,Zhou QinhuiORCID

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference58 articles.

1. Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data;Abdi;GISci. Remote Sens.,2020

2. Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks;Audebert;ISPRS J. Photogramm. Remote Sens.,2018

3. Comprehensively analyzing optical and polarimetric SAR features for land-use/land-cover classification and urban vegetation extraction in highly-dense urban area;Bai;Int. J. Appl. Earth Obs. Geoinf.,2021

4. Application of spectral mixture analysis for terrain evaluation studies;Casals-Carrasco;Int. J. Remote Sens.,2000

5. Bi-directional cross-modality feature propagation with separation-and-aggregation gate for RGB-d semantic segmentation;Chen,2020

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