Validation of a neural network based modis global cloud mask using ground-based instruments

被引：0
|
作者：
Berendes, T [1 ]
Berendes, D [1 ]
Welch, R [1 ]
Clothiaux, E [1 ]
Dutton, E [1 ]
Minnett, P [1 ]
Uttal, T [1 ]
机构：
[1] Univ Alabama, NSSTC, Huntsville, AL 35805 USA
来源：
18TH INTERNATIONAL CONFERENCE ON INTERACTIVE INFORMATION AND PROCESSING SYSTEMS (IIPS) FOR METEOROLOGY, OCEANOGRAPHY, AND HYDROLOGY | 2002年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页码：16 / 18
页数：3
相关论文
共 50 条
  • [21] MOPITT validation using ground-based IR spectroscopy
    McKernan, É
    Yurganov, L
    Tolton, BT
    Drummond, JR
    OPTICAL SPECTROSCOPIC TECHNIQUES AND INSTRUMENTATION FOR ATMOSPHERIC AND SPACE RESEARCH III, 1999, 3756 : 486 - 491
  • [22] Cirrus observations using ground-based LIDAR and terra MODIS instrument
    Kulkarni, Padmavati
    Kumar, Y. Bhavani
    Prasantha, P. Vishnu
    Rao, D. Narayana
    Krishniah, M.
    REMOTE SENSING OF THE ATMOSPHERE AND CLOUDS, 2006, 6408
  • [23] Cloud-MobiNet: An Abridged Mobile-Net Convolutional Neural Network Model for Ground-Based Cloud Classification
    Gyasi, Emmanuel Kwabena
    Swarnalatha, Purushotham
    ATMOSPHERE, 2023, 14 (02)
  • [24] Validation of ACE and OSIRIS ozone and NO2 measurements using ground-based instruments at 80° N
    Adams, C.
    Strong, K.
    Batchelor, R. L.
    Bernath, P. F.
    Brohede, S.
    Boone, C.
    Degenstein, D.
    Daffer, W. H.
    Drummond, J. R.
    Fogal, P. F.
    Farahani, E.
    Fayt, C.
    Fraser, A.
    Goutail, F.
    Hendrick, F.
    Kolonjari, F.
    Lindenmaier, R.
    Manney, G.
    McElroy, C. T.
    McLinden, C. A.
    Mendonca, J.
    Park, J. -H.
    Pavlovic, B.
    Pazmino, A.
    Roth, C.
    Savastiouk, V.
    Walker, K. A.
    Weaver, D.
    Zhao, X.
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2012, 5 (05) : 927 - 953
  • [25] Automated ground-based cloud recognition
    Maneesha Singh
    Matt Glennen
    Pattern Analysis and Applications, 2005, 8 : 258 - 271
  • [26] Automated ground-based cloud recognition
    Singh, M
    Glennen, M
    PATTERN ANALYSIS AND APPLICATIONS, 2005, 8 (03) : 258 - 271
  • [27] STANet: A Novel Predictive Neural Network for Ground-Based Remote Sensing Cloud Image Sequence Extrapolation
    Lu, Zhiying
    Zhou, Zhiyi
    Li, Xin
    Zhang, Jianfeng
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [28] Classification of Ground-Based Cloud Images by Improved Combined Convolutional Network
    Zhu, Wen
    Chen, Tianliang
    Hou, Beiping
    Bian, Chen
    Yu, Aihua
    Chen, Lingchao
    Tang, Ming
    Zhu, Yuzhen
    APPLIED SCIENCES-BASEL, 2022, 12 (03):
  • [29] Ground-Based Cloud Image Segmentation Network Based on Improved MobileNetV2
    Bu Hongkun
    Chang Shuai
    Gu Ye
    Guo Chunyu
    Song Chengbang
    Xu Wei
    Lu Tianyu
    Zhao Wei
    Tong Shoufeng
    LASER & OPTOELECTRONICS PROGRESS, 2024, 61 (18)
  • [30] Validation of MODIS, MISR, OMI, and CALIPSO aerosol optical thickness using ground-based sunphotometers in Hong Kong
    Wong, Man Sing
    Shahzad, Muhammad I.
    Nichol, Janet E.
    Lee, Kwon Ho
    Chan, P. W.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (03) : 897 - 918
12345