中国遥感软件研制进展与发展方向——以像素专家PIE为例

随着航天航空遥感技术的飞速发展，立体式、多层次、多视角、全方位和全天候对地观测的时代已然到来。如何激活数据价值，更好地服务行业应用，满足快速增长的遥感应用需求，成为遥感企业面临的迫切课题。遥感图像处理软件作为遥感数据与行业应用的桥梁，在遥感产业化过程中发挥着不可替代的作用。本文概述了国内外遥感卫星数据和遥感软件发展历程，通过中国国产遥感图像处理软件——像素专家（pixel information expert，PIE）阐述了国产遥感软件的研制进展、典型应用和未来技术发展方向。PIE软件具有多源遥感载荷全方位支持、全谱段要素信息智能提取、多行业全业务链深度融合、海量遥感数据快速处理和自主产权程序完全可控等5大核心能力。未来将加强与大数据、云计算和人工智能等技术前沿领域的交叉融合，提升遥感数据分析处理、知识挖掘与决策支持能力，实现遥感数据的按需获取快速传输和专题信息聚焦服务。

Research progress and development direction of Chinese remote sensing software: taking PIE as an example

More and more satellites have been launched or will be launched soon. Thus, remote sensing is no longer far away. With the rapid development of aerospace and aviation remote sensing technology, a new era of three-dimensional, multi-level, multi-angle, omni-directional, and all-weather earth observation has arrived. How to activate the value of data and better serve industry applications so as to meet the rapidly growing demand for remote sensing applications has become an urgent issue for remote sensing companies. As a bridge between remote sensing data and industry applications, remote sensing image processing software plays an irreplaceable role in the process of remote sensing industrialization. With the implementation of major strategic projects such as "China''s High-Resolution Earth Observation System" (high-score special project) and "National Medium-term to Long-term Civilian Space Infrastructure Development Plan (2015-2025)", domestic high-score remote sensing data is becoming more abundant. Whether these valuable data can play its value and how much value it can play depends on the conversion process from high-scoring remote sensing data to effective information and application services. The value of remote sensing data requires excellent remote sensing image processing software for mining and analysis. At the same time, vigorously developing independent and controllable remote sensing image processing software has increasingly become an urgent requirement to ensure national information security, implement the strategy of aerospace power, enhance technological innovation, and serve social development. Through the research and analysis of the development process of remote sensing satellite data and remote sensing software in China and abroad, the domestic remote sensing software has experienced three stages of development:the budding period, the catch-up period, and the independent innovation period. The remote sensing image processing software pixel information expert (PIE) is taken as an example to illustrate the development progress, typical applications, and future technological development directions of domestic remote sensing software. PIE, a domestically made remote sensing image processing software, was independently developed by PIESAT Information Technology Co., Ltd. (http://www.piesat.cn/). While opening the application of cloud service platform, PIE has evolved from a single general-purpose software plug-in architecture to 3S integration, multi-platform, and multi-load cluster processing; from pure satellite remote sensing image processing to aerospace integrated platform; and from optical load to application mode of optics, radar, and hyperspectral full spectrum. PIE6.0 has developed from a general remote sensing image processing software to PIE-Basic remote sensing image processing software, PIE-Ortho satellite image surveying and mapping processing software, PIE-SAR radar image data processing software, PIE-Hyp hyperspectral image data processing software, PIE-UAV unmanned aerial vehicle image data processing software, PIE-SIAS scale set image analysis software, PIE-AI remote sensing image intelligent processing software, PIE-Map geographic information system software, and many other "families". PIE6.0 has five core capabilities:comprehensive support for multi-source remote sensing loads, intelligent extraction of full-spectrum element information, deep integration of multi-industry and full-business chains, rapid processing of massive remote sensing data, and complete control of independent property rights programs. In order to meet the ever-increasing demand for remote sensing applications, we should build an intelligent, high-performance, and practical remote sensing image processing system; provide a wider, more refined, and more in-depth special service; and gradually develop and improve market mechanisms to establish sustainable development of remote sensing industry capabilities. Domestic remote sensing software continues to develop key technologies, such as remote sensing spatiotemporal big data storage management, intelligent synthesis, incremental cascading update, cleaning analysis and mining, and information security, to improve remote sensing data analysis and processing and knowledge mining and decision support capabilities and to build shared data and codes. The open platform of methods promotes multi-source heterogeneous data sharing and interoperability. In the future, domestic remote sensing software will closely follow industry applications and public needs, advanced technology integration and collaboration, remote sensing on-orbit intelligent real-time processing, and one-stop refined remote sensing cloud services. PIE will continue to increase the contribution rate of science and technology; promote the modernization of remote sensing application capabilities; strengthen the cross-integration of remote sensing applications with big data, cloud computing, artificial intelligence, and other cutting-edge technologies; continue to improve remote sensing data analysis and processing, knowledge discovery, and decision support capabilities; and realize the on-demand acquisition of remote sensing data, the rapid transmission of data, and the focused services of thematic information, so that multi-source remote sensing data can truly become a powerful weapon to promote resource investigation, environmental monitoring, emergency rescue, and so on.