Detection of changes in remotely-sensed images by the selective use of multi-spectral information

被引：51
|
作者：
Bruzzone, L [1 ]
Serpico, SB [1 ]
机构：
[1] Univ Genoa, Dept Biophys & Elect Engn, I-16145 Genoa, Italy
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 1997年 / 18卷 / 18期
关键词：
D O I：
10.1080/014311697216702
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
In this Letter, an unsupervised algorithm for detecting changes in multi-spectral and multi-temporal remotely-sensed images is presented. Such an algorithm makes it possible to reduce the effects of 'registration noise' on the accuracy of change detection. In addition, it can be used to reduce the typologies of detected changes in order to better locate the changes under investigation.
引用
收藏
页码：3883 / 3888
页数：6
相关论文
共 50 条
  • [1] Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images
    Mannan, B
    Roy, J
    Ray, AK
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (04) : 767 - 774
  • [2] A new supervised classification method for quantitative analysis of remotely-sensed multi-spectral data
    Erol, H
    Akdeniz, F
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (04) : 775 - 782
  • [3] MULTI-SPECTRAL EDGE DETECTION FOR ENHANCED EXTRACTION AND CLASSIFICATION OF HOMOGENEOUS REGIONS IN REMOTELY SENSED IMAGES
    Braitbart, M.
    Almog, O.
    Shoshany, M.
    XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III, 2022, 43-B3 : 49 - 54
  • [4] The effect of the thermal infrared data on principal component analysis of multi-spectral remotely-sensed data
    Agassi, E
    Ben Yosef, N
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (09) : 1683 - 1694
  • [5] A Study of Quantifying the Deviation of Remotely Sensed Objects from Multi-spectral Images
    Tewary, Prateek
    Mukherjee, Jit
    PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PREMI 2023, 2023, 14301 : 548 - 556
  • [6] Land use qualities identified in remotely-sensed images
    Wastfelt, A.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2009, 30 (09) : 2411 - 2427
  • [7] Visualizing uncertainty in multi-spectral remotely sensed imagery
    Bastin, L
    Fisher, PF
    Wood, J
    COMPUTERS & GEOSCIENCES, 2002, 28 (03) : 337 - 350
  • [8] Contrast enhancement of remotely-sensed images
    Vorobel, R
    MMET'96 - VITH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ELECTROMAGNETIC THEORY, PROCEEDINGS, 1996, : 472 - 475
  • [9] Computer processing of remotely-sensed images
    McGregor, D
    GEOGRAPHY, 2000, 85 : 375 - 376
  • [10] Shoreline Detection from PRISMA Hyperspectral Remotely-Sensed Images
    Souto-Ceccon, Paola
    Simarro, Gonzalo
    Ciavola, Paolo
    Taramelli, Andrea
    Armaroli, Clara
    REMOTE SENSING, 2023, 15 (08)
12345