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Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework
| Content Provider | Scilit |
|---|---|
| Author | Zhang, Lamei Dong, Hongwei Zou, Bin |
| Copyright Year | 2019 |
| Description | Journal: Isprs Journal of Photogrammetry and Remote Sensing |
| Related Links | http://arxiv.org/pdf/1903.09917 |
| Ending Page | 72 |
| Page Count | 14 |
| Starting Page | 59 |
| ISSN | 09242716 |
| DOI | 10.1016/j.isprsjprs.2019.09.002 |
| Journal | Isprs Journal of Photogrammetry and Remote Sensing |
| Volume Number | 157 |
| Language | English |
| Publisher | Elsevier BV |
| Publisher Date | 2019-11-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Isprs Journal of Photogrammetry and Remote Sensing Remote Sensing Deep Learning Convolutional Neural Networks Polarimetric Synthetic Aperture Radar (polsar) Classification Two-stream Architecture Multi-task Learning Depthwise Separable Convolutions |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geography, Planning and Development Atomic and Molecular Physics, and Optics Engineering Computers in Earth Sciences Computer Science Applications |