T/GSEA 001-2024 Active Group standards

T/GSEA 001-2024 Photovoltaic Power Station Drone Hyperspectral Imaging Detection Technology Specification

T/GSEA 001-2024 Photovoltaic power plant drone hyperspectral imaging detection technical specification

Publish Date: 2025-05-15 Implement Date: 2025-05-30 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/GSEA 001-2024
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: Solar energy engineering
Publish Date: 2025-05-15
Implement Date: 2025-05-30

Scope

Main technical content: This document specifies the method for conducting high-spectral imaging tests on photovoltaic power stations using drones, including detection conditions, parameter selection, and spectral data processing. This document is applicable to low-altitude digital aerial photography work of photovoltaic power stations using push-sweep low-altitude high-spectral aerial photography systems, with the main purpose of obtaining high-spectral imaging data. Frame-type low-altitude high-spectral aerial photography systems can be referenced for implementation. The main contents of the standard include: detection conditions: environmental conditions, drone systems, and acquisition equipment; parameter selection: main process, preparations before parameter selection, resolution selection, partitioning principles, flight parameter design, flight height calculation, flight speed calculation, flight path planning; spectral data processing: data preprocessing, instrument noise correction, atmospheric correction, spectral and spatial correction, data processing, noise reduction, dimensional reduction, spectral unmixing, data classification and fusion, target detection and extraction, geographic positioning and correction, control point selection, distortion correction, image management, image reliability verification and evaluation, data processing across different time dimensions, data naming and management, data compression, and data storage.

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