Meng Zhu, Zhongfa Zhou, Yi Jiang, Denghong Huang. An Accurate Recognition Method of Pitaya Plants Based on Visible Light Band UAV Remote Sensing[J]. Laser & Optoelectronics Progress, 2020, 57(14): 142801
- Laser & Optoelectronics Progress
- Vol. 57, Issue 14, 142801 (2020)
Fig. 1. Images of Sunshine orchard, Xinzhongsheng and Langdang, as well as the corresponding reflectances of plants and weeds. (a) Images; (b) plant reflectance; (c) weed reflectance
Fig. 2. Pitaya fruit plant pixel, weed pixel and principles of three primary colors addition. (a) Pitaya fruit plant pixel; (b) three primary colors additive color scheme; (c) weed pixel
Fig. 3. Comparison of reflectance between pitaya fruit plants and weeds. (a) R-band; (b) G-band; (c) B-band
Fig. 4. Vegetation index calculation results. (a) CCVI; (b) VDVI; (c) EXG; (d) NGRDI
Fig. 5. CCVI extraction results in three sample regions. (a) Sunshine orchard; (b) Xinzhongsheng; (c) Langdang
Fig. 6. CCVI verification results. (a) Test original image; (b) CCVI calculation result; (c) CCVI extraction result
Fig. 7. Comparison of CCVI extraction accuracy indicators in verification area. (a) Leakage rate; (b) mistake rate; (c) connected rate; (d) overall accuracy; (e) Kappa coefficient
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Table 1. DN values of pitaya fruit plants and weeds in the different areas
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Table 2. Statistics feature of CCVI in three plots
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Table 3. Extracting feature values and precision validation
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