遥感集成应用工​​程研究小组

Papers published in conferences and journals

论文集

2023
  1. Zhaocong Wu, Junhan Luo, Keyi Rao, Haoyu Lin, Xiaohui Song, Estimation of wheat kernel moisture content based on hyperspectral reflectance and satellite multispectral imagery, International Journal of Applied Earth Observation and Geoinformation, 2024[J]. https://doi.org/10.1016/j.jag.2023.103597 JAG
  2. Luo, J.,Wu, Z., Rao, K., Lin, H., Zhang, S., Dai, Z., Lin, W., and Yue, Y.: ESTIMATION OF WHEAT KERNEL MOISTURE CONTENT IN-FIELD BASED ON PLANETSCOPE AND SENTINEL-2 SATELLITE IMAGES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1/W1-2023, 843–849, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-843-2023, 2023. Egypt ISPRS GSW’2023
  3. Z. Wu, M. Li, K. Rao, Y. Yue and A. Xia, "An Analysis Method of Gas Absorption Spectrum Characteristics Based on Fuzzy Comprehensive Evaluation," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 9494-9514, 2023, doi: 10.1109/JSTARS.2023.3322640. JSTARS
  4. Zhaocong Wu, Mingliang Li, Keyi Rao, Ruixin Fang, Yixian Yue, Anquan Xia, An improved band design framework for atmospheric pollutant detection and its application to the design of satellites for CO2 observation, Journal of Quantitative Spectroscopy and Radiative Transfer, 2023[J]. https://doi.org/10.1016/j.jqsrt.2023.108712.
  5. Deng G, WU Z, Xu M, et al. Crisscross-Global Vision Transformers Model for Very-high Resolution Aerial Image Semantic Segmentation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023. TGRS
  6. WU Z, Shi F. Mapping Forest Canopy Height at Large Scales Using ICESat-2 and Landsat: An Ecological Zoning Random Forest Approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 61: 1-16. https://ieeexplore.ieee.org/abstract/document/9998516 TGRS
2022
  1. J. Li, WU Z, Q. Sheng, B.Wang, Z. Hu, S. Zheng, G. Camps-Vall, M. Molinier, “A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images,” Remote Sens. Environ., vol. 280, 113197, Oct. 2022. https://doi.org/10.1016/j.rse.2022.113197 RSE
  2. DENG G, WU Z, WANG C et al. CCANet: Class-Constraint Coarse-to-Fine Attentional Deep Network for Subdecimeter Aerial Image Semantic Segmentation[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60. DOI:10.1109/TGRS.2021.3055950. TGRS ESI高被引
  3. Li Jun , Zhang Yuejie, Sheng Qinghong, WU Z, WangBo , Hu Zhongwen ,Shen Guanting , Schmitt Michael ,Molinier, Matthieu et al. Thin Cloud Removal Fusing Full Spectral and Spatial Features for Sentinel-2 Irymage[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15, 8759-8775.
  4. Fang, R., WU, Z., and Song, X.: ASYMMETRIC FUZZY CLASSIFICATION NETWORKS FOR CONSTRUCTION LAND DETECTION IN HIGH RESOLUTION REMOTE SENSING IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3/W2-2022, 23–28, https://doi.org/10.5194/isprs-archives-XLVIII-3-W2-2022-23-2022
  5. 蔺昊宇,巫兆聪,孙小虎.利用ICESat-2 ATLAS&JL-1反演输电线走廊附近森林冠层高度[J].应用科学学报,2022,40(05):809-819.
  6. 贾森,朱家松,巫兆聪 ,王俊杰 ,胡忠文 ,石铁柱 ,于仕琪,徐萌. 高光谱和高空间分辨率遥感数据信息提取与定量反演[J] 中国科技成果, 2022, 23, 24, 16-17.
2021
  1. Li J, Wu Z, Hu Z, et al. A Lightweight Deep Learning-Based Cloud Detection Method for Sentinel-2A Imagery Fusing Multiscale Spectral and Spatial Features[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 60: 1-19.TGRS
  2. LI J, WU Z, HU Z et al. Deep Learning Based Thin Cloud Removal Fusing Vegetation Red Edge and Short Wave Infrared Spectral Information for Sentinel-2A Imagery[J]. REMOTE SENSING, 2021, 13(1). DOI:10.3390/rs13010157.
  3. 莫露,巫兆聪,张熠.中国XCO_2时空分布与影响因素分析[J].中国环境科学,2021,41(06):2562-2570.DOI:10.19674/j.cnki.issn1000-6923.20210223.025 .
  4. 巫兆聪,喻文蕴.不同地表覆盖下SPOT-7影像大气校正方法研究[J].测绘地理信息,2021,46(02):7-12.DOI:10.14188/j.2095-6045.2019085 .
2020
  1. WU Z, LI J, WANG Y et al. Self-Attentive Generative Adversarial Network for Cloud Detection in High Resolution Remote Sensing Images[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2020, 17(10): 1792–1796. DOI:10.1109/LGRS.2019.2955071.
  2. YANG F, WU Z, ZENG J et al. Study on the Influence of Image Motion on Image Radiation Quality[Z](2020). DOI:10.1007/978-981-13-6504-1_23.
  3. LI J, WU Z, HU Z et al. Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 166: 373–389. DOI:10.1016/j.isprsjprs.2020.06.021. ISPRS PRS
  4. Li J, Wu Z, Hu Z, et al. Automatic Cloud Detection Method Based on Generative Adversarial Networks in Remote Sensing Images[J]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, 5(2): 885-892.
  5. Yan Z, Wu Z. Stacked Local Feature Detector for Hyperspectral Image[J]. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, 43: 495-500.
  6. He L, Wu Z, Zhang Y, et al. Semantic Segmentation of Remote Sensing Imagery Using Object-Based Markov Random Field Based on Hierarchical Segmentation Tree with Auxiliary Labels[J]. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, 43: 75-81.
  7. 潘悦,巫兆聪,张熠,闫钊,倪民. 基于光谱分析的中国墨书古文字图像增强[C]//第七届高分辨率对地观测学术年会论文集.,2020:363-381.DOI:10.26914/c.cnkihy.2020.045385 .
  8. 赵若雨,巫兆聪,张熠. 基于可见光近红外高光谱数据的小白菜表面溴氰菊酯残留检测方法[C]//第七届高分辨率对地观测学术年会论文集.,2020:511-527.DOI:10.26914/c.cnkihy.2020.045396 .
2019
  1. WU Z, WANG N, SHAO J et al. GPU ray casting method for visualizing 3D pipelines in a virtual globe[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2019, 12(4): 428–441. DOI:10.1080/17538947.2018.1429504.
  2. Wu Z, He L, Zhang Y, et al. Cloud Detection Method in GaoFen-2 Multi-spectral Imagery[C]//China High Resolution Earth Observation Conference. Springer, Singapore, 2019: 199-211.
  3. WU Z, HE L, HU Z et al. Hierarchical Segmentation Evaluation of Region-Based Image Hierarchy[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12(8): 2718–2727. DOI:10.1109/JSTARS.2019.2926425.
  4. 巫兆聪,张晓,李俊,钱鼎伟,严冬. 一种光学遥感应用需求聚类综合及评价方法[C]//第六届高分辨率对地观测学术年会论文集（下）.,2019:2-14.DOI:10.26914/c.cnkihy.2019.047141 .
  5. 巫兆聪,罗志鹏,张熠. 基于CNN和自适应滤波的高分影像MTF提取[C]//第六届高分辨率对地观测学术年会论文集（下）.,2019:15-31.DOI:10.26914/c.cnkihy.2019.047142 .

  6. 巫兆聪,张熠. 基于OCO-2数据的CO_2浓度时空变化及影响因素分析——以中国东北地区为例[C]//第六届高分辨率对地观测学术年会论文集（上）.,2019:113-122.
  7. 巫兆聪,闫钊,王鹏.基于投影变换的线阵旋转扫描相机标定方法[J].测绘通报,2019(04):96-98+102.DOI:10.13474/j.cnki.11-2246.2019.0121 .
2018
  1. WU Z, NI M, HU Z et al. Mapping invasive plant with UAV-derived 3D mesh model in mountain area-A case study in Shenzhen Coast, China[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 77: 129–139. DOI:10.1016/j.jag.2018.12.001. JAG
  2. 巫兆聪,项伟,李俊,杨志.基于满足度评估的遥感应用需求聚类算法[J].应用科学学报,2018,36(04):635-643.
2017
  1. HU Z, LI Q, ZHANG Q et al. Unsupervised Simplification of Image Hierarchies via Evolution Analysis in Scale-Sets Framework[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 26(5): 2394–2407. DOI:10.1109/TIP.2017.2676342. IEEE TIP
  2. Hu, Zhongwen, Qingquan Li, Q. Zhang, Qin Zou and Zhaocong Wu. “Unsupervised Simplification of Image Hierarchies via Evolution Analysis in Scale-Sets Framework.” IEEE Transactions on Image Processing 26 (2017): 2394-2407.
  3. 巫兆聪,刘培,巫远.一种多光谱遥感应用需求综合方法[J].应用科学学报,2017,35(05):658-666.
  4. 徐磊,巫兆聪,罗飞,杨帆,项伟,高飞.基于GF-1/WFV与MODIS时空融合的森林覆盖定量提取[J].农业机械学报,2017,48(07):145-152.
  5. 巫兆聪,杨帆,巫远,朱军,韩杏子.平台姿态误差对TDICCD相机成像几何质量的影响[J].国防科技大学学报,2017,39(02):101-106.
2016
  1. 罗志鹏,张熠,巫兆聪,巫远. 基于多尺度信息熵的高分遥感影像质量评价[C]. //第二十届中国遥感大会论文集. 2016:207-207.
  2. 巫兆聪,郭霏霏,喻文蕴. 基于多用户需求分析的遥感卫星传感器指标设计[C]. //第二十届中国遥感大会论文集. 2016:163-163.
  3. 巫兆聪,项伟,高飞. 一种顾及在轨能力的对地观测需求能力基线提取方法[C]. //第二十届中国遥感大会论文集. 2016:173-173.
  4. 巫兆聪,喻文蕴,郭霏霏. GF-1不同辐射处理水平的植被指数精度分析[C]. //第二十届中国遥感大会论文集. 2016:231-232.
  5. 巫兆聪,杨帆,张熠,巫远,喻文蕴.基于地表参数真实性的GF-1和SPOT-7多光谱影像质量评价[J].中国图象图形学报,2016,21(11):1551-1561.
  6. 巫兆聪,许诗旋.基于同步观测的高分一号卫星影像辐射质量评价[J].测绘与空间地理信息,2016,39(07):10-14.
  7. 巫兆聪,巫远,张熠,杨帆.附有物理量和气象条件约束的光学卫星国土观测有效覆盖率评估[J].测绘学报,2016,45(07):841-849.
2015
  1. 巫兆聪,杨帆,巫远,周小杰,何晓宇.高程对TDICCD相机像移补偿影响分析[J].武汉大学学报(信息科学版),2015,40(12):1570-1574+1587.DOI:10.13203/j.whugis20130667.
  2. 巫兆聪,徐卓知,杨帆.遥感卫星应用需求满足度的模糊评估[J].应用科学学报,2015,33(03):299-308.
  3. 巫兆聪,杨帆,王楠,巫远,朱卓娃.不同类型遥感传感器对地覆盖区域仿真与计算[J].应用科学学报,2015,33(01):1-8.
2014
  1. YU X, WU Z, JIANG W et al. Predicting daily photosynthetically active radiation from global solar radiation in the Contiguous United States[J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 89: 71–82. DOI:10.1016/j.enconman.2014.09.038.
  2. YU X, GUO X, WU Z. Land Surface Temperature Retrieval from Landsat 8 TIRS-Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method[J]. REMOTE SENSING, 2014, 6(10): 9829–9852. DOI:10.3390/rs6109829.
  3. Yu X, Guo X, Wu Z. Investigating the potential of long time series remote sensing NDVI datasets for forest gross primary productivity estimation over continental US[J]. International Journal of Applied, 2014, 4(4).
  4. 巫兆聪,杨帆,刘品雄. 对地观测系统效能分析与评估工具介绍及应用[C]. //第十九届中国遥感大会论文集. 2014:129-133.
2013
  1. HU Z, WU Z, ZHANG Q et al. A Spatially-Constrained Color-Texture Model for Hierarchical VHR Image Segmentation[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 10(1): 120–124. DOI:10.1109/LGRS.2012.2194693.
  2. YU X, WU Z, GUO X et al. Investigating the Potential of GIMMS and MODIS NDVI Data Sets for Estimating Gross Primary Productivity in Harvard Forest[Z](2013).
  3. 巫兆聪,欧阳群东,李芳芳.顾及特征优化的全极化SAR图像SVM分类[J].测绘科学,2013,38(03):115-117+139.DOI:10.16251/j.cnki.1009-2307.2013.03.065 .
  4. 巫兆聪,胡忠文,张谦,崔卫红.结合光谱、纹理与形状结构信息的遥感影像分割方法[J].测绘学报,2013,42(01):44-50.
2012
  1. YI L, ZHANG G, WU Z. A Scale-Synthesis Method for High Spatial Resolution Remote Sensing Image Segmentation[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50(10): 4062–4070. DOI:10.1109/TGRS.2012.2187789.
  2. Wu Z, Hu Z, Fan Q. Superpixel-based unsupervised change detection using multi-dimensional change vector analysis and SVM-based classification[J]. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci, 2012, 7: 257-262.
  3. YU X, WU Z, JIANG W et al. GROSS PRIMARY PRODUCTION ESTIMATION BY COMBINING MODIS PRODUCTS AND AMERIFLUX DATA THROUGH ARTIFICIAL NEURAL NETWORK FOR CROPLANDS[Z](2012). DOI:10.1109/IGARSS.2012.6352734.
  4. 巫兆聪,欧阳群东.散射特性引导的极化SAR图像多尺度分割[J].测绘科学,2012,37(03):35-37.DOI:10.16251/j.cnki.1009-2307.2012.03.006 .
  5. 余晓磊,巫兆聪,江万寿,赵政.武汉地区地基GPS遥感水汽与气象因子的相关性分析[J].地理与地理信息科学,2012,28(01):55-58+89+2.
  6. 巫兆聪,欧阳群东,胡忠文.应用分水岭变换与支持向量机的极化SAR图像分类[J].武汉大学学报(信息科学版),2012,37(01):7-10+72+127.DOI:10.13203/j.whugis2012.01.001 .
2011
  1. Yu L. WU Z, ZHANG G et al. Synthesis of multi-scale segmentation results based on land cover categories[Z](2011). DOI:10.1117/12.910406.
  2. Wu Z, Ouyang Q. SVM-and MRF-based method for contextual classification of polarimetric SAR images[C]//2011 International Conference on Remote Sensing, Environment and Transportation Engineering. IEEE, 2011: 818-821.
  3. Yu X, Wu Z. Study on the relationship between aerosol anthropogenic component and air quality in the city of Wuhan[C]//2011 International Conference on Remote Sensing, Environment and Transportation Engineering. IEEE, 2011: 3588-3591.
  4. 巫兆聪,欧阳群东,孙轩,邹滨.极化散射特性保持的改进迭代Wishart分类算法[J].测绘科学,2011,36(06):161-163.DOI:10.16251/j.cnki.1009-2307.2011.06.018 .
  5. 余晓磊,巫兆聪.环境卫星CCD传感器场地辐射定标与交叉定标的比较[J].传感技术学报,2011,24(10):1435-1439.
  6. 巫兆聪,欧阳群东,胡忠文,刘玲.四分量散射模型在极化SAR相干斑滤波中的应用[J].武汉大学学报(信息科学版),2011,36(07):763-766.DOI:10.13203/j.whugis2011.07.008 .
  7. 余晓磊,巫兆聪.利用环境一号卫星热红外影像反演渤海海表温度[J].海洋技术,2011,30(02):1-6.
  8. 巫兆聪,胡忠文,欧阳群东.一种区域自适应的遥感影像分水岭分割算法[J].武汉大学学报(信息科学版),2011,36(03):293-296.DOI:10.13203/j.whugis2011.03.026 .
  9. 欧阳群东,巫兆聪,彭检贵.一种改进的精制极化Lee滤波算法[J].测绘科学,2011,36(05):136-138.DOI:10.16251/j.cnki.1009-2307.2011.05.065 .
  10. 欧阳群东,巫兆聪,胡忠文,邓媛媛.CityGML应用领域三维建模研究[J].测绘科学,2011,36(03):166-168.DOI:10.16251/j.cnki.1009-2307.2011.03.040 .
2010
  1. LI D, ZHANG G, WU Z et al. An Edge Embedded Marker-Based Watershed Algorithm for High Spatial Resolution Remote Sensing Image Segmentation[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2010, 19(10): 2781–2787. DOI:10.1109/TIP.2010.2049528.
  2. WU Z, XIANG Y, YI L et al. ROUGH SET BASED FEATURE SELECTION FOR CLASSIFICATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGERY[Z](2010).
  3. Zhang G, Wu Z, Yi L. Marker-based watershed segmentation embedded with edge information[C]//2010 International Conference on Image Analysis and Signal Processing. IEEE, 2010: 375-380.
  4. WU Z, XIANG YUN, YI L, et al. ROUGH SET BASED FEATURE SELECTION FOR CLASSIFICATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGERY[M]//Computational Intelligence: Foundations and Applications. 2010: 758-763.
  5. WU Z, DENG Y, YU X. Seasonal Changes of the Relationships Between Photochemical Reflectance Index and Light Use Efficiency in Broadleaf Forest[Z](2010).
  6. 邓媛媛,巫兆聪,易俐娜,胡忠文,龚正娟.面向对象的高分辨率影像农用地分类[J].国土资源遥感,2010(04):117-121.
  7. 易俐娜,张桂峰,巫兆聪. 基于地表覆盖类型的遥感影像多尺度分割结果综合[C]//第十七届中国遥感大会摘要集.,2010:92.
  8. 余晓磊,巫兆聪. 基于环境卫星CCD影像自身和6S模型相结合的大气校正[C]//遥感定量反演算法研讨会摘要集.,2010:25.
  9. 曾晓茹,巫兆聪,林昀. 基于MODIS-MOD04气溶胶数据的CBERS-02B卫星数据大气校正[C]//遥感定量反演算法研讨会摘要集.,2010:26-27.
  10. 邓媛媛,巫兆聪,易俐娜,等. 面向对象的高分辨率影像农用地分类[J]. 国土资源遥感,2010(4):117-121.
  11. 巫兆聪,欧阳群东,李芳芳.基于CityGML的遥感信息共享研究[J].武汉大学学报(信息科学版),2010,35(04):423-426.DOI:10.13203/j.whugis2010.04.009 .
  12. 张桂峰,巫兆聪,易俐娜.改进的标记分水岭遥感影像分割方法[J].计算机应用研究,2010,27(02):760-763.
2009
  1. ) ZHAOCONG W, LINA Y, MAOYUN Q. Granular Approach to Object-Oriented Remote Sensing Image Classification[Z](2009).
  2. WU Z, YI L, ZHANG G. Uncertainty analysis of object location in multi-source remote sensing imagery classification[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2009, 30(20): 5473–5487. DOI:10.1080/01431160903130945.
2008
  1. ZHANG G, WU Z, YI L. A remote sensing feature discretization method accommodating uncertainty in classification systems[Z](2008).
  2. WU Z, YI L, ZHANG G. Geometrical uncertainty of objects and its influence in the object-oriented multi-source remote sensing imagery processing[Z](2008).
  3. 巫兆聪,覃茂运,张潇.一种顾及几何特征的云模型遥感影像分割方法[J].武汉大学学报(信息科学版),2008(09):939-942.
2007
  1. 巫兆聪,万茜婷,梁静,周正.粒度Hough变换及其在遥感影像直线检测中的应用[J].武汉大学学报(信息科学版),2007(10):860-863.
  2. 周春,巫兆聪,秦昆.VC和Matlab混合编程应用于遥感影像道路的提取[J].测绘信息与工程,2007(03):8-10.
  3. 夏松,李德仁,巫兆聪.利用多源空间数据进行地形的三维变化检测[J].测绘科学,2007(01):49-50+161.
2006
  1. 张桂峰,巫兆聪,齐昊远,梁静.利用数字正射影像进行航空像片空间定位[J].测绘信息与工程,2006(04):38-39.
  2. 梁静,巫兆聪,张桂峰.基于信息熵的遥感影像特征离散化方法[J].地理空间信息,2006(03):9-11.
2005
  1. Wu Z, Li D. A rough sets approach of hyperspectral image classification[C]//MIPPR 2005: SAR and Multispectral Image Processing. International Society for Optics and Photonics, 2005, 6043: 604310.
  2. 邵锐,巫兆聪,钟世明.基于粗糙集的K-均值聚类算法在图像分割中的应用[J].测绘信息与工程,2005(05):1-2.
  3. 邵锐,巫兆聪,钟世明.粗糙集理论在遥感影像分割中的应用[J].地理空间信息,2005(05):26-28.
2003
  1. 巫兆聪.基于粗糙理论的RBF网络及其遥感影像分类应用[J].测绘学报,2003(01):53-57. DOI:10.3321/j.issn:1001-1595.2003.01.011 .
2002
  1. 巫兆聪.分形分析中的无标度区确定问题[J].测绘学报,2002(03):240-244. DOI:10.3321/j.issn:1001-1595.2002.03.011 .
2001
  1. Wu Z. Research on remote sensing image classification using neural network based on rough sets[C]//2001 International Conferences on Info-Tech and Info-Net. Proceedings (Cat. No. 01EX479). IEEE, 2001, 1: 279-284.
  2. 巫兆聪. RBF网络的粗糙表示与遥感影像分类应用[C]//第十三届全国遥感技术学术交流会论文摘要集.,2001:42.
2000
  1. 巫兆聪,方圣辉.基于分形理论的SAR图像边缘检测[J].武汉测绘科技大学学报,2000(04):334-337.DOI:10.13203/j.whugis2000.04.010 .
1998
  1. 方圣辉,舒宁,巫兆聪.SAR影像去噪声方法的研究[J].武汉测绘科技大学学报,1998(03):29-32.
1997
  1. 李德仁,袁修孝,巫兆聪,张祖勋,张剑清,汪治宏,张力.GPS辅助全自动空中三角测量[J].遥感学报,1997(04):306-310.
Patents and Software Copyrights

专利软著

  • 巫兆聪,饶可奕,张斯卿,王绍举,徐卫星,谢楠. 一种星载高光谱成像仪曲线型辐射定标方法及系统[P].湖北：ZL202410558776.9, 2024-07-02.
  • 巫兆聪,张斯卿,饶可奕,王绍举,代志雄,李政灿. 一种星载高光谱成像仪光谱定标方法及系统[P].湖北：ZL202311443081.8, 2024-02-02.
  • 巫兆聪,张斯卿,饶可奕,王绍举,代志雄,李政灿. 一种星载高光谱成像仪辐射定标方法及系统[P].湖北：ZL202311443078.6, 2024-02-02.
  • 巫兆聪,徐卫星,饶可奕. 夜光遥感数据降尺度处理方法[P].湖北：ZL202310724664.1, 2023-09-12.
  • 巫兆聪,罗俊涵,蔺昊宇,张斯卿,代志雄,林炜华,岳逸贤. 基于PlanetScope卫星影像的田间小麦籽粒含水率监测方法[P].湖北：ZL202310674603.9, 2023-08-01.
  • 巫兆聪,华玲,黄淑娟,梁楠,宋晓辉,岳鹏飞,方瑞欣. 基于多源遥感密度数据进行碳排放量分区网格化的方法[P].湖北：ZL202310651468.6, 2023-08-15.
  • 巫兆聪,巫昶,方瑞欣,梁楠,宋晓辉,岳鹏飞. 多水域城市生态环境遥感监测方法[P].湖北：ZL202310628972.4, 2023-08-15.
  • 巫兆聪,沈冠廷,蔺昊宇,岳鹏飞,宋晓辉,梁楠. 一种基于高光谱遥感的手机面板质量检测方法[P].湖北：ZL202310579671.7, 2023-08-15.
  • 巫兆聪,林炜华,方瑞欣等. 联合多源数据生成全国1km碳排放空间分布图的方法[P]. 湖北省：CN115658776B,2023-03-31.
  • 巫兆聪,岳逸贤. 基于ICESat-2星载LiDAR数据与多光谱数据的森林碳储量反演方法[P]. 湖北省：CN115561773B,2023-03-10.
  • 巫兆聪,蔺昊宇. 基于ICESat-2高分辨率数据的树高制图方法、装置及设备[P]. 湖北省：CN115372986B,2023-03-24.
  • 巫兆聪,徐卫星,闫钊. 一种基于语义的夜光遥感影像高分辨率重建方法.[P].湖北：CN114782255B, 2022-09-02.
  • 巫兆聪,饶可奕,闫钊. 一种基于改进注意力和损失函数的解码编码网络隐写术[P].湖北：CN114662061B, 2022-08-30.
  • 巫兆聪,方瑞欣. 一种大规模遥感影像土壤变化伪标签制作及变化检测方法[P].湖北：CN114511724A, 2022-05-17.
  • 巫兆聪,时芳琳. 一种顾及生态分区的大尺度森林高度遥感反演方法[P].湖北：CN114037911B, 2022-04-15.
  • 巫兆聪,闫钊.一种旋转线阵扫描图像位姿自动化精密解算方法[P].湖北：CN113962853B, 2022-03-15.
  • 巫兆聪,蔺昊宇,闫钊. 联合ICESat-2和吉林一号影像的输电线附近树木隐患排查方法[P]. 湖北省：CN113920438B, 2022-03-04.
  • 巫兆聪,莫露,闫钊.一种任意时空位置二氧化碳浓度预测影响因素分析方法[P]. 湖北：CN113919448B, 2022-04-01.
  • 巫兆聪,闫钊,苏琳,王鹏. 基于投影变换的线阵旋转扫描相机成像模型构建方法和标定方法[P]. 湖北：CN109272574B,2020-04-10.
  • 巫兆聪,杨志,项伟,李俊. 基于众包的航天任务交易方法、系统及航天众包服务器[P]. 湖北：CN107529655A, 2018-01-02.
  • 巫兆聪,巫远,林志勇,张熠,杨帆,高飞. 一种顾及区域尺度的遥感卫星有效覆盖仿真计算方法[P]. 湖北：CN105956225B, 2018-10-12.
  • 巫兆聪,张熠,巫远,林志勇,龚龑,郭霏霏. 一种基于领域本体的遥感对地观测需求模型建立方法[P]. 湖北：CN105956375B, 2018.07.27.
  • 胡忠文,巫兆聪,李清泉. 一种影像层次分割结果的数据存储、组织及检索方法[P]. 广东：CN104112007B, 2017.07.25.

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