Research on the Effective Use of apriori Information in Image Interpretation
Research on the Effective Use of apriori Information in Image Interpretation
批准号:
15100003
负责人:
KOSUGI Yukio
金额:
$40.1万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (S)
财政年份:
2003
资助国家:
日本
项目状态:
已结题
起止时间:
2003 至 2007
中文摘要
点击翻译按钮获取中文摘要
英文摘要
For the accurate land-use and land-cover analysis of satellite and aerial images, as well as for automatic diagnosis and surgical planning based on medical images, we are aiming at establishing image-interpretation frameworks using a priori knowledge inherent to the subject under consideration. In the study of high-resolution images as well as hyperspectral images, Models with excessive freedom sometimes mislead us to inconsistent results. Sufficient information can be obtained by introducing models with adequately limited degree of freedom, as shown in the following results :Damaged area estimation : The satellite image photographed before disaster was handled as a priori information, and the image photographed after the disaster was compared in nonlinear map algorithm based on the principle of "coincidence enhancement", and change detection of damaged houses was carried out. This system was applied to satellite images of the Bam earthquake of December 26, 2003, and the damaged area w … More as extracted. The processing result was provided to a Japanese field investigation group, and the validity of the detection result was verified via the field study.Sugar content estimation of crops : The flavor of crops is dependent on the fraction of contents such as sugar, amino acid and protein etc. In this study, we tried to estimate these quantities from the hyperspectral image of the crops before the harvest. In the estimation system, we optimized the mathematical operation among large number of wavelength of the hyperspectral images by combining the neural network with the PSO(particle swarm optimization) algorithm. In this estimation, the set of measured values obtained after the harvest was used as a tutorial data.The derivation of human skin extraction index : We analyzed hyperspectral image of short wavelength infrared region, to make use of a priori information effectively in detecting the human victims in the water or lying on the gravel or ground after the disaster. As a result, NHI(normalized human index) was proposed to make the skin tangible by utilizing the spectral information inherent to the human skin.Independent Component Analysis of Periodically Distributed Vegetation Images : As a basic study for the development of high-altitude observation of hyperspectral images of Japanese agricultural fields, we experimentally and theoretically consider the use of a priori knowledge in the effective use of independent component analysis for resolving mixture pixels found in images observed beyond the limitation of physical resolution. Less
期刊论文(99)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
ナラ枯れのハイパースペクトル・リモートセンシングの可能性を探る
探索橡树枯萎病高光谱遥感的潜力
DOI:
--
发表时间:
2008
期刊:
影响因子:
--
作者:
[小杉幸夫, 高林裕治, 宇都有昭, 小田九二夫, 尾形俊成]
通讯作者:
尾形俊成
「研究成果報告書概要(和文)」より
摘自《研究结果报告摘要(日文)》
DOI:
--
发表时间:
2005
期刊:
影响因子:
--
作者:
[Kawauchi, et. al., Nishimura et al., Dezawa et al., Yoshizawa et al., 星野 幹雄, 星野 幹雄]
通讯作者:
星野 幹雄
繋留型気球
系留气球
DOI:
--
发表时间:
2005
期刊:
影响因子:
--
作者:
[]
通讯作者:
三上直人, 小杉幸夫: "相互領域拡張法による地理画像の適応的セグメンテーション"電子情報通信学会論文誌. J86-D-II. 1329-1340 (2003)
Naoto Mikami、Yukio Kosugi:“使用相互区域扩展方法进行地理图像的自适应分割”,电子、信息和通信工程师学会会刊 J86-D-II 1329-1340 (2003)。
DOI:
--
发表时间:
期刊:
影响因子:
--
作者:
[]
通讯作者:
Studies on human skin extraction from hyperspectral data using particle swarm optimization
利用粒子群优化从高光谱数据中提取人体皮肤的研究
DOI:
--
发表时间:
2008
期刊:
写真測量とリモートセンシング
影响因子:
--
作者:
[Takayuki Edanaga, Yohei Minekawa, Sildomar T. Monteiro and Yukio Kosugi]
通讯作者:
Sildomar T. Monteiro and Yukio Kosugi
共 68 条
Research on the Upgrading of Hyperspectral Image Processing
-
批准号:20246069
-
项目类别:Grant-in-Aid for Scientific Research (A)
-
资助金额:$29.62万
-
财政年份:2008
-
负责人:KOSUGI Yukio
-
依托单位:
Fundamental Research on Cortical Activity Visualization
-
批准号:09044148
-
项目类别:Grant-in-Aid for Scientific Research (B).
-
资助金额:$2.62万
-
财政年份:1997
-
负责人:KOSUGI Yukio
-
依托单位:
Research on Hihg-Performance Electrical Impedance Tomography
-
批准号:07409002
-
项目类别:Grant-in-Aid for Scientific Research (A)
-
资助金额:$6.72万
-
财政年份:1995
-
负责人:KOSUGI Yukio
-
依托单位:
Development of PET/MR image fusing system
-
批准号:07555127
-
项目类别:Grant-in-Aid for Scientific Research (B)
-
资助金额:$5.12万
-
财政年份:1995
-
负责人:KOSUGI Yukio
-
依托单位:
Development of a neuro-searching system
-
批准号:03557060
-
项目类别:Grant-in-Aid for Developmental Scientific Research (B)
-
资助金额:$3.52万
-
财政年份:1991
-
负责人:KOSUGI Yukio
-
依托单位:
Development of an articulated neuro-navigation system
-
批准号:63850088
-
项目类别:Grant-in-Aid for Developmental Scientific Research
-
资助金额:$1.98万
-
财政年份:1988
-
负责人:KOSUGI Yukio
-
依托单位:
Development of Induced Fye-movement Examination System
-
批准号:61850074
-
项目类别:Grant-in-Aid for Developmental Scientific Research
-
资助金额:$2.75万
-
财政年份:1986
-
负责人:KOSUGI Yukio
-
依托单位:
海外基金