*2.1. Study Area*

The research area was in the village of Luozhuang, Changziying town, Daxing District, Beijing, as shown in Figure 1. The image was acquired on 24 August 2018. The weather was clear and cloudless. The rich vegetation types included weeds, crops, and tree species, as shown in Figure 2. The crops included soybean in the flowering and pod-bearing stages, and maize in the powder stage. The tree species included mulberry, peach, and ash trees. The vegetation grew densely, and shadows greatly affected the classification results. Therefore, shadows were recognized as a type of object in this paper. In summary, the land species were divided into eight types: weeds, soybeans, maize, mulberries, peach trees, ash trees, dirt roads, and shadows.

**Figure 1.** Study site.

**Figure 2.** Schematic images of the vegetation types in the study area.

#### *2.2. UAV Hyperspectral Remote Sensing Platform*

In this paper, a Cubert S185 hyperspectral sensor mounted on a DJI Jingwei M600 PRO (Dajiang, Shenzhen, China), which is a rotary-wing vehicle with six rotors, was used to obtain research data, and is shown in Figure 3. The Cubert S185 frame-frame imaging spectrometer (Germeny) [28] simultaneously captured both low spatial resolution hyperspectral images (50 × 50 pixels) and high

spatial resolution panchromatic images (1000 × 1000 pixels), and then obtained high spatial resolution hyperspectral images via data fusion using Cubert Pilot software. The sensor provides 125 spectral channels with wavelengths ranging from 450 nm to 950 nm (4-nm sampling interval). Table 1 lists the main performance parameters of the hyperspectral cameras.

**Figure 3.** Sensor system and UAV platform: (**a**) Cubert hyperspectral camera and (**b**) DJI Jingwei M600 PRO.

(**a**) (**b**)

**Table 1.** Main parameters of the Cubert UHD 185 snapshot hyperspectral sensor (provided by the manufacturer).

