An interactive interface for visualizing and analyzing multi-spectral solar images

被引：2
|
作者：
Hurlburt, NE
Shine, RA
Tarbell, TD
机构：
来源：
VISUAL DATA EXPLORATION AND ANALYSIS IV | 1997年 / 3017卷
关键词：
image analysis; solar physics; optical flow methods;
D O I：
10.1117/12.270325
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present an interactive software tool for manipulating image data, especially high resolution multi-spectral solar movies and images from several different instruments. This tool contains procedures for distortion removal for ground based solar movies, correlation tracking, image alignments, data compression, 3-D Fourier filtering, interactive viewing of space/time slices in movies, and browsing through (x,y,t) data cubes. This is a complete public domain package based on X windows and Unix which is currently running on Silicon Graphics and Digital Equipment workstations. These software tools are freely available to the international solar community. Many components are also applicable to image and movie analysis in astrophysics, space physics, and earth sciences. They are available with documentation via our web pages under http://www.space. lockheed.com.
引用
收藏
页码：165 / 173
页数：3
相关论文
共 50 条
  • [1] Active Region Detection in Multi-spectral Solar Images
    Almahasneh, Majedaldein
    Paiement, Adeline
    Xie, Xianghua
    Aboudarham, Jean
    [J]. PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM), 2021, : 452 - 459
  • [2] Visualizing uncertainty in multi-spectral remotely sensed imagery
    Bastin, L
    Fisher, PF
    Wood, J
    [J]. COMPUTERS & GEOSCIENCES, 2002, 28 (03) : 337 - 350
  • [3] Line extraction in multi-spectral images
    She, EY
    Wang, RS
    [J]. IMAGE PROCESSING AND PATTERN RECOGNITION IN REMOTE SENSING, 2003, 4898 : 71 - 77
  • [4] Automatic referencing of multi-spectral images
    Araiza, R
    Xie, HJ
    Starks, SA
    Kreinovich, V
    [J]. FIFTH IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION, PROCEEDINGS, 2002, : 21 - 25
  • [5] Semantic Segmentation on Multi-Spectral Images
    Aslantas, Veysel
    Toprak, Ahmet Nusret
    Elmaci, Mehmet
    [J]. 29TH IEEE CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS (SIU 2021), 2021,
  • [6] Quantitative interpretation of multi-spectral fundus images
    Styles, IB
    Claridge, E
    Orihuela-Espina, F
    Calcagni, A
    Gibson, JM
    [J]. Medical Imaging 2005: Physiology, Function, and Structure From Medical Images, Pts 1 and 2, 2005, 5746 : 267 - 278
  • [7] Utilization of Multi-spectral Images in Photodynamic Diagnosis
    Zacher, Andrzej
    [J]. COMPUTER VISION AND GRAPHICS, PT II, 2010, 6375 : 367 - 375
  • [8] EXTRACTING INTRINSIC IMAGES FROM MULTI-SPECTRAL
    Shao, Ming
    Wang, Yun-Hong
    [J]. PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2009, : 241 - 246
  • [9] Quantitative analysis of multi-spectral fundus images
    Styles, I. B.
    Calcagni, A.
    Claridge, E.
    Orihuela-Espina, F.
    Gibson, J. M.
    [J]. MEDICAL IMAGE ANALYSIS, 2006, 10 (04) : 578 - 597
  • [10] Visual Analysis for Multi-Spectral Images Comparisons
    Li, Guozheng
    Chen, Shuai
    Li, Qiusheng
    Jiang, Zhibang
    Shi, Yuening
    Liu, Qiangqiang
    Liu, Xi
    Yuan, Xiaoru
    [J]. 2017 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST), 2017, : 191 - 192
12345