Qiong Ran - researchr alias

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Viewing Publication 1 - 25 from 25

2023

Deep transformer and few-shot learning for hyperspectral image classificationQiong Ran, Yonghao Zhou, Danfeng Hong, Meiqiao Bi, Li Ni, Xuan Li, Muhammad Ahmad. caaitrit, 8(4):1323-1336, December 2023. [doi]

2022

Target Detection Model Distillation Using Feature Transition and Label Registration for Remote Sensing ImageryBoya Zhao, Qing Wang, Yuanfeng Wu, Qingqing Cao, Qiong Ran. staeors, 15:5416-5426, 2022. [doi]

Combining Spatial-Spectral Features for Hyperspectral Image Few-Shot ClassificationYonghao Zhou, Qiong Ran, Li Ni. icis2 2022: 326-333 [doi]

2021

2020

Image pan-sharpening using enhancement based approaches in remote sensingSarwar Shah Khan, Qiong Ran, Muzammil Khan. mta, 79(43-44):32791-32805, 2020. [doi]

Remote sensing images super-resolution with deep convolution networksQiong Ran, Xiaodong Xu, Shizhi Zhao, Wei Li 0032, Qian Du. mta, 79(13-14):8985-9001, 2020. [doi]

HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral ImageryGaigai Zhang, Shizhi Zhao, Wei Li 0032, Qian Du, Qiong Ran, Ran Tao 0003. remotesensing, 12(9):1489, 2020. [doi]

Feature Extraction for Change Detections Combining The Local Contain Profile and The Sparse Representation ClassifierNini Zhao, Qiong Ran. bmei 2020: 127-132 [doi]

Collaborative Classification for Woodland Data Using Similar Multi-concentrated NetworkYixuan Zhu, Mengmeng Zhang, Wei Li, Ran Tao 0003, Qiong Ran. prcv 2020: 95-101 [doi]

2019

Decision Fusion Based on Joint Low Rank and Sparse Component for Hyperspectral Image ClassificationFeiyan Li, Wei Li 0032, Hongtao Huo, Qiong Ran. igarss 2019: 401-404 [doi]

Separable-spectral convolution and inception network for hyperspectral image super-resolutionKe Zheng, LianRu Gao, Qiong Ran, Ximin Cui, Bing Zhang 0001, Wenzhi Liao, Sen Jia. mlc, 10(10):2593-2607, 2019. [doi]

2018

Multisource Remote Sensing Data Classification Based on Convolutional Neural NetworkXiaodong Xu, Wei Li 0032, Qiong Ran, Qian Du, LianRu Gao, Bing Zhang 0001. tgrs, 56(2):937-949, 2018. [doi]

Hyperspectral Classification Based on Siamese Neural Network Using Spectral-Spatial FeatureShizhi Zhao, Wei Li, Qian Du, Qiong Ran. igarss 2018: 2567-2570 [doi]

2017

Multi-level fusion of graph based discriminant analysis for hyperspectral image classificationFubiao Feng, Qiong Ran, Wei Li. mta, 76(21):22959-22977, 2017. [doi]

Sparse graph embedding dimension reduction for hyperspectral image with a new spectral similarity metricFubiao Feng, Wei Li, Qian Du, Qiong Ran. igarss 2017: 13-16 [doi]

2015

Spatial-spectral classification with local regional filter and Markov random fieldQiong Ran, Wei Li, Qian Du. whispers 2015: 1-4 [doi]

Hyperspectral Image Classification Using Weighted Joint Collaborative RepresentationMingming Xiong, Qiong Ran, Wei Li, Jinyi Zou, Qian Du. lgrs, 12(6):1209-1213, 2015. [doi]

2014

PSO-EM: A Hyperspectral Unmixing Algorithm Based On Normal Compositional ModelBing Zhang 0001, Lina Zhuang, LianRu Gao, Wenfei Luo, Qiong Ran, Qian Du. tgrs, 52(12):7782-7792, 2014. [doi]

Weighted-RXD and Linear Filter-Based RXD: Improving Background Statistics Estimation for Anomaly Detection in Hyperspectral ImageryQiandong Guo, Bing Zhang 0001, Qiong Ran, LianRu Gao, Jun Li 0009, Antonio Plaza. staeors, 7(6):2351-2366, 2014. [doi]

2012

Structural stability of silicene-like nanotubesChuan-Hui Zhang, Qiong Ran, Jiang Shen. cphysics, 183(1):30-33, 2012. [doi]

2009

New Thoughts for Onboard Compression of Satellite ImagesLianRu Gao, Qiong Ran, Bing Zhang, Yaobin Chi, Zhiyong Wang. igarss 2009: 478-481 [doi]

Exposure Adjustment of Satellite CamerasQiong Ran, Yaobin Chi, Zhiyong Wang, LianRu Gao. igarss 2009: 857-860 [doi]

2005

Soil moisture derivation in China using AVHRR data and analysis of its affecting factorsQiong Ran, Zengxiang Zhang, Quanbin Zhou, Qian Wang. igarss 2005: 4497-4500 [doi]

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