The new hyperspectral satellite prisma: Imagery for forest types discrimination

被引:0
|
作者
Vangi, Elia [1 ,2 ]
D’amico, Giovanni [1 ]
Francini, Saverio [1 ,2 ,3 ]
Giannetti, Francesca [1 ,4 ]
Lasserre, Bruno [2 ]
Marchetti, Marco [2 ]
Chirici, Gherardo [1 ,4 ,5 ]
机构
[1] Dipartimento di Scienze e Tecnologie Agrarie, Alimentari, Ambientali e Forestali, Università degli Studi di Firenze, Firenze,50145, Italy
[2] Dipartimento di Bioscienze e Territorio, Università degli Studi del Molise, Campobasso,86100, Italy
[3] Dipartimento per la Innovazione nei Sistemi Biologici, Agroalimentari e Forestali, Università degli Studi della Tuscia, Viterbo,01100, Italy
[4] Laboratorio Congiunto ForTech, Università degli Studi di Firenze, Firenze,50145, Italy
[5] Research Unit COPERNICUS, Università degli Studi di Firenze, Firenze,50145, Italy
来源
Sensors (Switzerland) | 2021年 / 21卷 / 04期
关键词
Terminology;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1 / 19
相关论文
共 50 条
  • [31] Soil-vegetation discrimination and assessment in satellite imagery
    Caramizoiu, A
    Aiftimiei, C
    Stoica, A
    SIOEL '99: SIXTH SYMPOSIUM ON OPTOELECTRONICS, 2000, 4068 : 726 - 732
  • [32] TRANSFER LEARNING ANALYSIS FOR WILDFIRE SEGMENTATION USING PRISMA HYPERSPECTRAL IMAGERY AND CONVOLUTIONAL NEURAL NETWORKS
    Spiller, Dario
    Amici, Stefania
    Ansalone, Luigi
    2022 12TH WORKSHOP ON HYPERSPECTRAL IMAGING AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2022,
  • [33] Self-Supervised Denoising for Real Satellite Hyperspectral Imagery
    Qin, Jinchun
    Zhao, Hongrui
    Liu, Bing
    REMOTE SENSING, 2022, 14 (13)
  • [34] Detecting invasive plant species using hyperspectral satellite imagery
    Tsai, F
    Lin, EK
    Wang, HH
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 3002 - 3005
  • [35] EFFECTS OF PANSHARPENING METHODS ON DISCRIMINATION OF TROPICAL CROP AND FOREST USING VERY HIGH-RESOLUTION SATELLITE IMAGERY
    Abadi, Mohamed
    Grandchamp, Enguerran
    Gil, Artur
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 7200 - 7203
  • [36] Development of a forest GIS using satellite imagery for a large communal forest
    Katoh, M.
    Tsushima, T.
    Nihon Ringakkai Shi/Journal of the Japanese Forestry Society, 2002, 84 (04): : 231 - 238
  • [37] Densely connected deep random forest for hyperspectral imagery classification
    Cao, Xianghai
    Li, Renjie
    Ge, Yiming
    Wu, Bin
    Jiao, Licheng
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 40 (09) : 3606 - 3622
  • [38] A Comparison of Forest Classification using Hyperion and AVIRIS Hyperspectral Imagery
    Cipar, John
    Cooley, Thomas
    Lockwood, Ronald
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 1956 - 1959
  • [39] A system for processing hyperspectral imagery: application to detecting forest species
    Kozoderov, V. V.
    Kondranin, T. V.
    Dmitriev, E. V.
    Kamentsev, V. P.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (15) : 5926 - 5945
  • [40] Rotation-Based Deep Forest for Hyperspectral Imagery Classification
    Cao, Xianghai
    Wen, Li
    Ge, Yiming
    Zhao, Jing
    Jiao, Licheng
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 16 (07) : 1105 - 1109