2007 Fiscal Year Final Research Report Summary
Research on the Effective Use of apriori Information in Image Interpretation
| Project/Area Number |
15100003
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| Research Category |
Grant-in-Aid for Scientific Research (S)
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
KOSUGI Yukio Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Professor (30108237)
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| Co-Investigator(Kenkyū-buntansha) |
KAMEYAMA Keisuke University of Tsukuba, Graduate School of Systems and Information Engineering, Associate Professor (40242309)
UTO Kuniaki Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Enginnering, Faculty of Medicine, Assistant Professor (90345356)
KOSAKA Naoko Tokyo Institute of Technology, Graduate School of Enginnering, Associate Professor (50436713)
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| Project Period (FY) |
2003 – 2007
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| Keywords | hyperspectral images / insect pest / particle swarm optimization / sugar-content estimation / neural networks / medical images / satellite images / change detection |
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| Research Abstract |
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
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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
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Research Products
(64 results)
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[Journal Article] Estimation of Bacterial Pustule on Soybean Using Crane-Mounted Hyperspectral Sensor Data2007
Author(s)
Naoko, Kosaka, Yohei, Minekawa, Kuniakai, Uto, Yukio, Kosugi, Kunio, Oda, Genya, Saito
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Journal Title
Journal of the Japan Society of Photogrammetry and Remote Sensing Vol. 46, No. 6
Pages: 16-24
Description
「研究成果報告書概要(欧文)」より
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[Journal Article] Prediction of sweetness and amino acid in soybean crops from hyperspectral imagery2007
Author(s)
Sildomar, Takahashi, Monteiro, Yohei, Minekawa, Yukio, Kosugi, Tsuneya, Akazawa, Kunio, Oda
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Journal Title
ISPRS Journal of Photogrammetry and Remote Sensing Vol. 62, Issue 1)
Pages: 2-12
Description
「研究成果報告書概要(欧文)」より
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[Journal Article] Content-Based Image Retrieval of Kaou Images by Relaxation Matching of Region Features2006
Author(s)
K., Kameyama, S. N., Kim, M., Suzuki, K., Toraichi, T., Yamatomo
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Journal Title
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Vol. 14, No. 4
Pages: 509-523
Description
「研究成果報告書概要(欧文)」より
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[Journal Article] Urban Change Detection Related to Earthquakes Using an Adaptive Nonlinear Mapping of High-Resolution Images2004
Author(s)
Yukio, Kosugi, Mitsuteru, Sakamoto, Munenori, Fukunishi, Wei, Lu, Takeshi, Doihara, Shigeru, Kakumoto
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Journal Title
IEEE Geoscience and Remote Sensing Letters Vol. 1, No. 3
Pages: 152-156
Description
「研究成果報告書概要(欧文)」より
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[Presentation] Salt-damaged paddy fields analyses using high-spatial-resolution hyperspectral imaging system2005
Author(s)
Yohei, Minekawa, Kuniaki, Uto, Naoko, Kosaka, Yukio, Kosugi, Kunio, Oda, Shizuka, Mori, Ho, Ando, Yuka, Sasaki, Genya, Saito
Organizer
IGARSS2005
Place of Presentation
Seoul
Year and Date
2005-07-26
Description
「研究成果報告書概要(欧文)」より
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[Presentation] Analysis of salt-damaged paddy field using SPOT5 satellite images in Yamagata Prefecture2005
Author(s)
Shoichi, Hoshino, Naoko, Kosaka, Kuniaki, Uto, Yohei, Minekawa, Yukio, Kosugi, Genya, Saito
Organizer
IGARSS2005
Place of Presentation
Seoul
Year and Date
2005-07-26
Description
「研究成果報告書概要(欧文)」より
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