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ORCIDRyuei Nishii
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2020 – today
- 2020
[j10]Satoru Koda
, Farid Melgani, Ryuei Nishii:
Unsupervised Spectral-Spatial Feature Extraction With Generalized Autoencoder for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 17(3): 469-473 (2020)- [c25]Ryuei Nishii, Pan Qin, Ryosuke Kikuyama:
Solar Activity is One of Triggers of Earthquakes with Magnitudes Less Than 6. IGARSS 2020: 377-380 - [c24]Ryuei Nishii, Shojiro Tanaka:
Two Stage Estimation Procedure of Non-Linear Regression Functions for Spatially-Dependent Data. IGARSS 2020: 1520-1523
2010 – 2019
- 2019
- [c23]Shojiro Tanaka, Ryuei Nishii, Gigih Fitrianto:
Two Stage Estimation Procedure for Spatial Regression Models and Model Selection. IGARSS 2019: 1919-1922 - 2018
- [j9]Satoru Koda, Abdallah Zeggada, Farid Melgani, Ryuei Nishii:
Spatial and Structured SVM for Multilabel Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(10): 5948-5960 (2018) - 2016
- [j8]Moritaka Hosotsubo, Ryuei Nishii:
Relation between awarding of Grants-in-aid for scientific research and characteristics of applicants in Japanese universities. Scientometrics 109(2): 1097-1116 (2016) - 2015
- [c22]Noboru Murata, Ryuei Nishii, Hideyuki Takagi, Yan Pei:
Analytical estimation of the convergence point of populations. CEC 2015: 2619-2624 - [c21]Shojiro Tanaka, Ryuei Nishii:
Incorporation of gridded data into the analysis of remotely-sensed images: Basic quantitative strategy to analyze defoerestation by population growth. IGARSS 2015: 2548-2551 - [c20]Ryuei Nishii, Shojiro Tanaka:
Unified modeling based on SVM and SVR for prediction of forest area ratio by human population density and relief energy. IGARSS 2015: 2552-2555 - 2014
- [c19]Ryuei Nishii, Pan Qin, Daisuke Uchi:
Contextual unmixing of geospatial data based on Bayesian modeling. IGARSS 2014: 1631-1634 - [c18]Shojiro Tanaka, Ryuei Nishii:
Re-evaluation of topographic attributes with human population in deforestation framework with spatial dependency. IGARSS 2014: 3502-3505 - 2013
- [c17]Shojiro Tanaka, Ryuei Nishii:
Effect evaluation of topographic attributes on forest coverage ratios based on digital elevation model. IGARSS 2013: 2661-2664 - [c16]Ryuei Nishii, Pan Qin, Daisuke Uchi:
Nonlinear Bayesian unmixing of geospatial data based on GIBBS sampling. IGARSS 2013: 3104-3107 - 2010
- [c15]Ryuei Nishii, Shojiro Tanaka:
An application of novel zero-one inflated distributions with spatial dependence for the deforestation modeling. IGARSS 2010: 3442-3445
2000 – 2009
- 2009
- [j7]Shojiro Tanaka, Ryuei Nishii:
Nonlinear Regression Models to Identify Functional Forms of Deforestation in East Asia. IEEE Trans. Geosci. Remote. Sens. 47(8-1): 2617-2626 (2009) - [c14]Pan Qin, Zi-Jiang Yang, Ryuei Nishii:
Predictive control for dual-rate systems based on lifted state-space model identified by N4SID method. CDC 2009: 7369-7374 - [c13]Ryuei Nishii, Tomohiko Ozaki, Yoko Sawamura:
Semi-supervised Contextual Classification and Unmixing of Hyperspectral Data based on Mixture Distributions. IGARSS (2) 2009: 306-309 - [c12]Ryuei Nishii, Tomohiko Ozaki:
Contextual unmixing of geospatial data based on Markov random fields and conditional random fields. WHISPERS 2009: 1-4 - 2008
- [c11]Shojiro Tanaka, Ryuei Nishii:
Non-linear regression models to identify functional forms of deforestation. IGARSS (4) 2008: 49-52 - [c10]Ryuei Nishii, Yoko Sawamura, Akiko Nakamoto, Shuji Kawaguchi:
Contextual Unmixing of Geospatial Data based on Gaussian Mixture Models and Markov Random Fields. IGARSS (4) 2008: 77-80 - 2007
- [j6]Kawaguchi Kawaguchi, Ryuei Nishii:
Hyperspectral Image Classification by Bootstrap AdaBoost With Random Decision Stumps. IEEE Trans. Geosci. Remote. Sens. 45(11-2): 3845-3851 (2007) - [c9]Shuji Kawaguchi, Ryuei Nishii:
Hyperspectral image classification by recursive spatial boosting based on the bootstrap method. IGARSS 2007: 1751-1754 - [c8]Shojiro Tanaka, Ryuei Nishii:
Deforestation due to population and relief energy through spatially-correlated logit models. IGARSS 2007: 2310-2313 - 2006
- [c7]Shuji Kawaguchi, Ryuei Nishii:
Hyperspectral Image Classification by AdaBoost with Decision Stumps Based on Composed Feature Variables. IGARSS 2006: 936-939 - [c6]Ryuei Nishii:
Contextual Image Classification Based on Spatial Boosting. IGARSS 2006: 2137-2140 - 2005
- [j5]Ryuei Nishii, Shinto Eguchi:
Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods. IEEE Trans. Geosci. Remote. Sens. 43(11): 2547-2554 (2005) - [c5]Ryuei Nishii, Shinto Eguchi:
Spatio-temporal contextual image classification based on Spatial AdaBoost. IGARSS 2005: 4 - 2004
- [c4]Toshio Sakata, Ryuei Nishii, Tan Siang Chin, Ryuichi Sawae:
A new series of rotation invariant moments by Lie transformation group theory. IWFHR 2004: 377-381 - [c3]Ryuei Nishii, Shinto Eguchi:
Supervised image classification based on adaboost with contextual weak classifiers. IGARSS 2004: 1467-1470 - 2003
- [j4]Ryuei Nishii:
A Markov random field-based approach to decision-level fusion for remote sensing image classification. IEEE Trans. Geosci. Remote. Sens. 41(10): 2316-2319 (2003) - [c2]Ryuei Nishii:
Contextual image segmentation based on AdaBoost and Markov random fields. IGARSS 2003: 3507-3509 - 2002
- [c1]Ryuei Nishii:
Fusion of contextual classification and the existing classification result. IGARSS 2002: 79-81
1990 – 1999
- 1999
- [j3]Ryuei Nishii, Shojiro Tanaka:
Accuracy and inaccuracy assessments in land-cover classification. IEEE Trans. Geosci. Remote. Sens. 37(1): 491-498 (1999) - 1996
- [j2]Ryuei Nishii, Saeko Kusanobu, Shojiro Tanaka:
Enhancement of low spatial resolution image based on high resolution-bands. IEEE Trans. Geosci. Remote. Sens. 34(5): 1151-1158 (1996) - 1993
- [j1]Ryuei Nishii:
Optimality of experimental designs. Discret. Math. 116(1-3): 209-225 (1993)
Coauthor Index
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