Œ¤‹†˜_•¶ (Papers)

 

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18. Teng P, Ono E, Zhang Y, Aono M, Shimizu Y, Hosoi F, Omasa K, 2019: Estimation of ground surface and accuracy assessments of growth parameters for a sweet potato community in ridge cultivation, Remote Sensing. 11(12), 1487.

17. Itakura K, Hosoi F, 2019: Automated tree detection from 3D lidar images using image processing and machine learning, 58 (14), 3807-3811.

16. Itakura K, Hosoi F, 2019: Estimation of leaf inclination angle in three-dimensional plant images obtained from lidar, Remote Sensing. 11(3), 344.

15. Itakura K, Kamakura K, Hosoi F, 2019: Three-dimensional monitoring of plant structural parameters and chlorophyll distribution, Sensors. 19, 413.

14. Itakura K, Saito Y, Suzuki T, Kondo N, Hosoi F, 2019: Estimation of citrus maturity with flourescence spectroscopy using deep learning, Horticulturae. 5, 2.

13. Itakura K, Hosoi F, 2018: Automatic leaf segmentation for estimating leaf area and leaf inclination angle in 3D plant images, Sensors 18, 3576.

12. Yu Zhang, Poching Teng, Mitsuko Aono, Yo Shimizu, Fumiki Hosoi and Kenji Omasa, 2018: 3D monitoring for plant growth parameters in field with a single camera by multi-view approach. Journal of Agricultural Meteorology 74, 129-139.

11. Itakura K, Hosoi F, 2018: Estimation of tree structural parameters from video frames with removal of blurred images using machine learning, Journal of Agricultural Meteorology 74, 154-161.

10. Itakura K, Hosoi F, 2018: Automatic individual tree detection and canopy segmentation from three-dimensional point cloud images obtained from ground-based lidar, Journal of Agricultural Meteorology 74, 109-113.

9. Itakura K, Hosoi F, 2018: Background and foreground segmentation in plant images with active contour model and plant image classification using transfer learning, Eco-engineering 30, 81-85.

8. Itakura K, Kamakura I, Hosoi F, 2018: A Comparison study on three-dimensional measurement of vegetation using Lidar and SfM on the ground, Eco-engineering 30, 15-20.

7. Itakura K, Kamakura I, Hosoi F, 2018: Calculation of moving distance when measuring tree height using portable scanning lidar and tree height measurement by using registration of images obtained on the ground and high places, Eco-engineering 30, 7-14.

6. Teng P, Fukumaru Y, Zhang Y, Aono M, Shimizu Y, Hosoi F, Omasa K, 2018: Accuracy assessment in 3D remote sensing of Japanese Larch trees using a small UAV, Eco-engineering 30 1-6.

5. Itakura K, Kamakura I, Hosoi F, 2017: Estimation of tree trunk diameter by LIDAR while moving on foot or by car. Eco-Engineering 29, 107-113.

4. Pham, T.D. and Yoshino, K.,2017: Aboveground Biomass Estimation of Mangrove Species Using ALOS-2 PALSAR Imagery in Hai Phong City, Vietnam. J. of Applied Remote Sensing 11(2): 026010-1 - 026010-17.

3. Y. Chang and K. Yoshino, 2017: Theory of Willingness to Sell (WTS) to Valuate Ecosystem Services in the Contingent Valuation Method. Journal of Environmental Informatics. doi:10.3808/jei.201700362.

2. Zou Taohong and K. Yoshino, 2017: Environmental vulnerability evaluation using a spatial principal components approach in the Daxing'anling region, China. Ecological Indicators 78:405-415. http://dx.doi.org/10.1016/j.ecolind.2017.03.039

1. Yoshino Kunihiko, Setiawan Yudi and Shima Eikichi, 2017: Land Use Analysis using Time Series of Vegetation Index Derived from Satellite Remote Sensing in Brantas River Watershed, East Java, Indonesia. Journal of Geomatics and Planning 4(2): 109-120.