基于历史收益分析的遥感图像拍摄区域优化方法
By constructing a standardized block database and calculating long-term and short-term return indices, a cross-regional and cross-industry return assessment system is established. High-value areas are predicted independently, and remote sensing image acquisition areas are optimized. This solves the problems of resource idleness and loss of commercial opportunities in the existing system, and realizes the efficient utilization of satellite resources and high-value imaging.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHANGGUANG SATELLITE TECH CO LTD
- Filing Date
- 2025-11-24
- Publication Date
- 2026-07-17
AI Technical Summary
Existing remote sensing mission planning and scheduling systems cannot effectively utilize satellite resources, lack the ability to identify spatial revenue patterns from historical data, and cannot proactively predict high-value imaging areas, resulting in idle resources and lost business opportunities. Furthermore, they lack industry demand evolution mechanisms and cannot achieve revenue-driven resource allocation.
By constructing a standardized block database based on historical revenue analysis, calculating long-term and short-term revenue indices, establishing a cross-regional and cross-industry revenue evaluation system, and generating executable imaging tasks through visibility screening and optimization combinations, the system can autonomously predict high-value areas and optimize shooting areas.
It significantly improves satellite resource utilization and imaging revenue efficiency, possesses autonomous prediction capabilities, enhances the commercial value density of mission allocation and the forward-looking nature of operation scheduling, solves the problem of idle resources, and achieves high-precision, high-value area positioning and mission generation.
Smart Images
Figure CN121486679B_ABST