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Sub-pixel Discrimination of Soil and Crop in Drone-based ...
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由 MK CVSS 著作2023被引用 1 次 — This research aims to discriminate crop-soil within-plant canopies for plant-level discrimination using high-resolution hyperspectral imagery.
Sub-pixel Discrimination of Soil and Crop in Drone-based ...
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This paper proposes a supervised approach to the segmentation ofQuickbird multispectral imagery through the integration of the Hierarchical Split Merge ...
Sub-pixel Discrimination of Soil and Crop in Drone-based ...
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由 MK CVSS 著作2023被引用 1 次 — This research aims to discriminate crop-soil within-plant canopies for plant- level discrimination using high-resolution hyperspectral imagery. A drone-mounted ...
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Figure 2 from Sub-pixel Discrimination of Soil and Crop in Drone ...
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Figure 2. Spectral signature of a cabbage plant and soil - "Sub-pixel Discrimination of Soil and Crop in Drone-based Hyperspectral Imagery"
Precision crop mapping: within plant canopy discrimination ...
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由 CM Kumar 著作2024 — Spectral unmixing is a direct theoretical approach for sub-pixel crop soil discrimination. Drone-based hyperspectral imagery (DHI) opens the ...
C V S S Manohar Kumar
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Sub-pixel Discrimination of Soil and Crop in Drone-based Hyperspectral Imagery. MKCV S. S., RR Nidamanuri, VK Dadhwal. 2023 13th Workshop on Hyperspectral ...
Precision crop mapping: within plant canopy discrimination ...
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2024年10月24日 — We acquired hyperspectral imagery of vegetable crops using a frame-based sensor mounted on a drone flying at different heights. Further, several ...
within plant canopy discrimination of crop and soil using ...
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由 CM Kumar 著作2024 — We acquired hyperspectral imagery of vegetable crops using a frame-based sensor mounted on a drone flying at different heights. Further, several ...
WHISPERS MAnohar | PDF | Soil | Physical Sciences
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The document summarizes research on discriminating crops and soil at a sub-pixel level using drone hyperspectral imagery. It presents a methodology using ...
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Dadhwal (2023). Sub-pixel discrimination of soil and crop in drone-based hyperspectral imagery, IEEE Xplore, pp. 1-4, doi: 10.1109/WHISPERS61460.