Remote sensing of forest change using artificial neural networks

被引：0
|
作者：
Boston Univ, Boston, United States [1 ]
机构：
来源：
IEEE Trans Geosci Remote Sens | / 2卷 / 398-404期
关键词：
Manuscript received December 16; 1994; revised July 20; 1995. This work was supported by the National Science Foundahon under Grant SBR-9300633 The authors are with the Department of Geography; Boston University; Boston; MA 02215 USA. Publisher Item Identifier S 0196-2892(96)01005-4;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
43
引用
收藏
相关论文
共 50 条
  • [41] Study on Artificial Neural Network Combined with Multispectral Remote Sensing Imagery for Forest Site Evaluation
    Gong Yin-xi
    He Cheng
    Yan Fei
    Feng Zhong-ke
    Cao Meng-lei
    Gao Yuan
    Miao Jie
    Zhao Jin-long
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33 (10) : 2815 - 2822
  • [42] Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks
    Kupssinsku, Lucas Silveira
    Guimaraes, Taina Thomassim
    de Freitas, Rafael
    de Souza, Eniuce Menezes
    Rossa, Pedro
    Marques Jr, Ademir
    Veronez, Mauricio Roberto
    Gonzaga Jr, Luiz
    Cazarin, Caroline Lessio
    Mauad, Frederico Fabio
    2019 13TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST), 2019,
  • [43] ARTIFICIAL NEURAL NETWORKS AND REMOTE SENSING IN THE ANALYSIS OF THE HIGHLY VARIABLE PAMPEAN SHALLOW LAKES
    Canziani, Graciela
    Ferrati, Rosana
    Marinelli, Claudia
    Dukatz, Federico
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2008, 5 (04) : 691 - 711
  • [44] NIR - Remote sensing and artificial neural networks for rapid identification of post consumer plastics
    J Parallel Distrib Comput, 2 (143):
  • [45] Climate change or regional human impacts? Remote sensing tools, artificial neural networks, and wavelet approaches aim to solve the problem
    Foroumandi, Ehsan
    Nourani, Vahid
    Sharghi, Elnaz
    HYDROLOGY RESEARCH, 2021, 52 (01): : 176 - 195
  • [46] Optimisation of fishing predictions by means of artificial neural networks, anfis, functional networks and remote sensing images
    Nuno, AI
    Arcay, B
    Cotos, JM
    Varela, J
    EXPERT SYSTEMS WITH APPLICATIONS, 2005, 29 (02) : 356 - 363
  • [47] Cloud detection using convolutional neural networks on remote sensing images
    Matsunobu, Lysha M.
    Pedro, Hugo T. C.
    Coimbra, Carlos F. M.
    SOLAR ENERGY, 2021, 230 : 1020 - 1032
  • [48] VLF Remote Sensing of the D Region Ionosphere Using Neural Networks
    Gross, N. C.
    Cohen, M. B.
    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2020, 125 (01)
  • [49] Multisource Domain Adaptation for Remote Sensing Using Deep Neural Networks
    Elshamli, Ahmed
    Taylor, Graham W.
    Areibi, Shawki
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (05): : 3328 - 3340
  • [50] Airplane Detection in Remote Sensing Images using Convolutional Neural Networks
    Chao, Ouyang
    Chen, Zhong
    Zhang, Feng
    Zhang, Yifei
    MIPPR 2017: PATTERN RECOGNITION AND COMPUTER VISION, 2017, 10609
12345