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陈杰
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教师姓名：陈杰
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职称：教授
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教师拼音名称：chenjie
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性别：男
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所在单位：地球科学与信息物理学院
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学历：博士研究生毕业
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入职时间：2011-10-28
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学位：博士学位
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毕业院校：中南大学
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在职信息：在职
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学科：测绘科学与技术
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招生学科：测绘科学与技术
- Chen J, Wang H, Guo Y, et al. Strengthen the Feature Distinguishability of Geo-Object Details in the Semantic Segmentation of High-Resolution Remote Sensing Images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 2327-2340.[DOI: 10.1109/JSTARS.2021.3053067]
- Chen J, Huang H, Peng J, et al. Contextual Information-Preserved Architecture Learning for Remote-Sensing Scene Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021.[DOI: 10.1109/TGRS.2021.3063287]
- Chen J, Zhou X, Zhang Y, et al. Message-Passing-Driven Triplet Representation for Geo-Object Relational Inference in HRSI[J]. IEEE Geoscience and Remote Sensing Letters, 2021.[DOI: 10.1109/LGRS.2020.3038569]
- 陈杰,戴欣宜,周兴,孙庚,邓敏.2021.双LSTM驱动的高分遥感影像地物目标空间关系语义描述.遥感学报,25(5):1085-1094.[DOI:10.11834/jrs.20210340]
- Chen J, Yuan Z, Peng J, et al. DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 1194-1205.[DOI:10.1109/JSTARS.2020.3037893]
- Chen J, Zhu J, Sun G, et al. SMAF-Net: Sharing Multiscale Adversarial Feature for High-Resolution Remote Sensing Imagery Semantic Segmentation[J]. IEEE Geoscience and Remote Sensing Letters, 2020.[DOI: 10.1109/LGRS.2020.3011151]
- Chen J, Wan L, Zhu J, et al. Multi-scale spatial and channel-wise attention for improving object detection in remote sensing imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 17(4): 681-685.[DOI：10.1109/LGRS.2019.2930462]
- Chen J, Han Y, Wan L, et al. Geospatial relation captioning for high-spatial-resolution images by using an attention-based neural network[J]. International Journal of Remote Sensing, 2019, 40(16): 6482-6498.[DOI:10.1080/01431161.2019.1594439]
- Liu H, Yang M, Chen J, et al. Line-constrained shape feature for building change detection in VHR remote sensing imagery[J]. ISPRS International Journal of Geo-Information, 2018, 7(10): 410.[DOI：10.3390/ijgi7100410]
- Chen J, Liu H, Hou J, et al. Improving Building Change Detection in VHR Remote Sensing Imagery by Combining Coarse Location and Co-Segmentation[J]. ISPRS International Journal of Geo-Information, 2018, 7(6): 213.[DOI：10.3390/ijgi7060213]
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中南大学
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