Abstract: The invention relates to the technical field of radar detection, in particular to a device for real-time detection of spectrum from airborne hyperspectral imaging LiDAR and method thereof. The device comprises a laser and a reference module; the reference module comprises a first reflecting mirror and a second reflecting mirror with a given transmittance; the first reflecting mirror and the second reflecting mirror are arranged with a focusing mirror and an optical fiber in sequence therebetween. The laser emits a laser light to the first reflecting mirror with a given transmittance, and the beam of the laser light transmitted through the first reflecting mirror after passing the focusing mirror is used as the reference beam after passing the optical fiber. The invention enables detection of the spectral line of each pulse and improves the precision of reflection spectrum of the ground object measured by the system.

Abstract: Disclosed are a dynamic route planning method and device for unmanned ship used for feeding. The method includes: acquiring positioning information of a first set of vertices in a water body region, a feeding distance of a feeding device and positioning information of an unmanned ship; establishing a regional model according to the positioning information of the first set of vertices, and obtaining a route planning point according to the regional model and the feeding distance of the feeding device; obtaining a route target point according to the positioning information of the first set of vertices and the route planning point; dividing the route target point into an unreached target point or a reached target point according to the positioning information of the unmanned ship and the route target point; and obtaining a cruise route according to the positioning information of the unmanned ship and the unreached target point.

Abstract: A method and device for detecting water quality based on color recognition, and a storage medium. The method includes: collecting a water quality parameter sample and a RGB color parameter sample; normalizing the water quality parameter sample and the RGB color parameter sample; fitting a non-linear curve formed by RGB-PH values by using a RBF neural network model; establishing a RGB-water quality parameter lightweight database by using the non-linear curve of the RGB-water quality parameter; acquiring a color RGB value after a water sample to be detected reacts with a reagent; and comparing the color RGB value with the database to obtain a water quality detection parameter of the water sample to be detected.