1. Spectral-spatial hyperspectral image classification based on superpixel and multi-classifier fusion. Issue 16 (17th August 2020) Authors: Cui, Binge; Cui, Jiandi; Hao, Siyuan; Guo, Nannan; Lu, Yan Journal: International journal of remote sensing Issue: Volume 41:Issue 16(2020) Page Start: 6157 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Spectral-spatial hyperspectral image classification based on superpixel and multi-classifier fusion. Issue 16 (17th August 2020) Authors: Cui, Binge; Cui, Jiandi; Hao, Siyuan; Guo, Nannan; Lu, Yan Journal: International journal of remote sensing Issue: Volume 41:Issue 16(2020) Page Start: 6157 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Spectral-spatial hyperspectral image classification based on superpixel and multi-classifier fusion. Issue 16 (17th August 2020) Authors: Cui, Binge; Cui, Jiandi; Hao, Siyuan; Guo, Nannan; Lu, Yan Journal: International journal of remote sensing Issue: Volume 41:Issue 16(2020) Page Start: 6157 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. A novel hyperspectral image classification approach based on multiresolution segmentation with a few labeled samples. (24th June 2017) Authors: Cui, Binge; Ma, Xiudan; Zhao, Faxi; Wu, Yanan Journal: International journal of advanced robotic systems Issue: Volume 14:Number 3(2017:May/Jun.) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. BS-Net: Using Joint-Learning Boundary and Segmentation Network for Coastline Extraction from Remote Sensing Images. Issue 12 (2nd December 2021) Authors: Jing, Wei; Cui, Binge; Lu, Yan; Huang, Ling Journal: Remote sensing letters Issue: Volume 12:Issue 12(2021) Page Start: 1260 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗