PROBABILITY FUSION FOR HYPERSPECTRAL AND LIDAR DATA

被引：0
|
作者：
Ge, Chiru [1 ]
Du, Qian [2 ]
机构：
[1] Shandong Normal Univ, Informat Sci & Engn, Jinan 250358, Peoples R China
[2] Mississippi State Univ, Elect & Comp Engn, Starkville, MS 39762 USA
来源：
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年
基金：
国家重点研发计划;
关键词：
Hyperspectral image; LiDAR; residual fusion; classification; probability fusion; CLASSIFICATION;
D O I：
10.1109/IGARSS39084.2020.9323750
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new probability fusion strategy is proposed for hyperspectral and LiDAR data classification, which is inspired by the representation residual fusion strategy in our previous work. Unlike the residual fusion strategy utilizes a collaborative representation classifier, the probability fusion strategy deploys a deep residual network (DRN). This paper compares the two fusion strategies. The experiment results show that the probability fusion strategy with DRN is better than the residual fusion strategy in classification performance.
引用
收藏
页码：2675 / 2678
页数：4
相关论文
共 50 条
  • [21] CLASSIFICATION OF CLOUDY HYPERSPECTRAL IMAGE AND LIDAR DATA BASED ON FEATURE FUSION AND DECISION FUSION
    Luo, Renbo
    Liao, Wenzhi
    Zhang, Hongyan
    Pi, Youguo
    Philips, Wilfried
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 2518 - 2521
  • [22] Fusion Methods for Hyperspectral Image and LIDAR Data at Pixel-Level
    Abraham, C. Diana
    Aravinth, J.
    2018 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET), 2018,
  • [23] SPARSE MODELING FOR HYPERSPECTRAL IMAGERY WITH LIDAR DATA FUSION FOR SUBPIXEL MAPPING
    Castrodad, Alexey
    Khuon, Timothy
    Rand, Robert
    Sapiro, Guillermo
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 7275 - 7278
  • [24] Terrestrial lidar and hyperspectral data fusion products for geological outcrop analysis
    Buckley, Simon J.
    Kurz, Tobias H.
    Howell, John A.
    Schneider, Danilo
    COMPUTERS & GEOSCIENCES, 2013, 54 : 249 - 258
  • [25] Classification of hyperspectral and LIDAR data using extinction profiles with feature fusion
    Zhang, Mengmeng
    Ghamisi, Pedram
    Li, Wei
    REMOTE SENSING LETTERS, 2017, 8 (10) : 957 - 966
  • [26] Fusion of waveform LiDAR data and hyperspectral imagery for land cover classification
    Wang, Hongzhou
    Glennie, Craig
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 108 : 1 - 11
  • [27] COLLABORATIVE CLASSIFICATION OF HYPERSPECTRAL AND LIDAR DATA WITH INFORMATION FUSION AND DEEP NETS
    Chen, Chen
    Zhao, Xudong
    Li, Wei
    Tao, Ran
    Du, Qian
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 2475 - 2478
  • [28] Urban tree species mapping using hyperspectral and lidar data fusion
    Alonzo, Michael
    Bookhagen, Bodo
    Roberts, Dar A.
    REMOTE SENSING OF ENVIRONMENT, 2014, 148 : 70 - 83
  • [29] Urban tree species mapping using hyperspectral and lidar data fusion
    Alonzo, Michael
    Bookhagen, Bodo
    Roberts, Dar A.
    Remote Sensing of Environment, 2014, 148 : 70 - 83
  • [30] SEMI-SUPERVISED GRAPH FUSION OF HYPERSPECTRAL AND LIDAR DATA FOR CLASSIFICATION
    Liao, Wenzhi
    Xia, Junshi
    Du, Peijun
    Philips, Wilfried
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 53 - 56
12345