دانلود گزارش IEEE DataPort : Multispectral Remote Sensing for Weed Detection in West Australian Agricultural Lands - 2026
نویسندگان: Wang Haitian
جزئیات
ناشر: IEEE DataPort تاریخ انتشار نسخه الکترونیکی : 02/14/2026
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شابک: 10.21227/f8e1-5934
1,499,000 تومان
299,800 تومانبن تخفیف
زمان تحویل: حداکثر 24 ساعت
توضیحات
BAWSeg is a large-scale UAV multispectral benchmark dataset for field-level barley weed semantic segmentation, constructed from repeated RTK-enabled UAV surveys over two commercial rainfed barley paddocks near Kondinin, Western Australia (E2: lat −32.508363, lon 118.338139; E8: lat −32.516563, lon 118.353799). Data were acquired across four growing seasons (2020–2023) using a DJI Phantom 4 Multispectral (P4M) platform with six synchronized cameras: five monochrome narrowband sensors (Blue/Green/Red/RedEdge/NIR) at 1600×1300 pixels (focal length 5.74 mm, pixel pitch 2.74 μm) and one nadir RGB camera at 4000×3000 pixels. All missions used nadir viewing (gimbal −90°), flight altitude 120 m AGL, 80% forward/side overlap, and a commanded groundspeed of 5 m·s⁻¹. A D-RTK 2 base station provided real-time corrections, and per-frame exposure-time geotags were written into image EXIF via TimeSync. Each sortie includes radiometric reference panel captures (Spectralon, 1 m×1 m) and per-exposure irradiance measurements to support repeatable conversion to surface reflectance.This DataPort release contains (i) raw per-frame multispectral and RGB imagery with complete acquisition metadata, (ii) mission boundary and flight-line geometry, (iii) radiometrically calibrated, band-coregistered orthomosaics exported as tiled GeoTIFF reflectance maps for all five bands, (iv) orthomosaic-level vegetation index rasters (NDVI, GNDVI, EVI, SAVI, MSAVI), (v) dense pixel-level semantic annotations for crop/weed/other with an explicit ignore label for out-of-field/invalid pixels, and (vi) a leakage-free benchmark protocol based on non-overlapping 1024×1024 spatial blocks and a fixed block split reused across years, plus training-ready 256×256 patches (stride 128) with per-patch metadata. BAWSeg enables reproducible evaluation under within-plot, cross-plot, and cross-year settings for precision weed mapping and robust multispectral segmentation research. The total data volume exceeds 500 GB, preserving full traceability from raw frames to benchmark-ready patches.
1,499,000 تومان
299,800 تومانبن تخفیف
زمان تحویل: حداکثر 24 ساعت