A distributed visible light remote sensing image dynamic target detection and analysis system

Abstract

The invention discloses a distributed visible light remote sensing image dynamic target detection and analysis system, including a Web service module, a map service module, a Kafka message queue cluster, an HBase database service module, an image processing cluster, and an Elasticsearch data index cluster; the Web service module provides Map display, image processing task monitoring and management, target retrieval result display, and mining analysis result display functions; the map service module uses the pyramid tile format to store and manage visible light remote sensing image data; the Kafka message queue cluster is composed of several message processing servers; The image processing cluster provides remote sensing image dynamic target detection, target classification, and target feature extraction functions; the HBase database service module provides storage services for target attributes and image data; the Elasticsearch data index cluster provides indexing functions.

Description

technical field [0001] The invention relates to a distributed visible light remote sensing image dynamic target detection and analysis system. Background technique [0002] With the development of remote sensing imaging technology, it is possible to detect large dynamic targets on remote sensing images, such as detecting ships and aircraft. Optical remote sensing images have the advantages of clear and intuitive imaging, high resolution, and rich details, and are widely used in intelligence reconnaissance, analysis and processing, and other fields. [0003] The use of remote sensing images to detect ships in key sea areas, ports and other areas can greatly improve the capabilities of coastal defense early warning, maritime monitoring and management, fishery management, and command and dispatch. The conventional high-resolution optical remote sensing image ship detection algorithm consists of methods based on threshold segmentation and methods based on machine learning. The...

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Problems solved by technology

[0005] However, the current target detection technology for remote sensing images is limited to the detection algorithm itself, and does not locate the detected target, let alone correlate the time and space information of the target, and fail to effectively use the information provided by remote sensing images. information; on the other hand, with the passage of time, a large amount of image data such as satellites and aerial photography will be generated every moment. The current system can only provide browsing functions for image data, and does not support target detection for massive historical image data. Therefore, a large amount of manpower is required to manually judge and analyze the intelligence, which is time-consuming and labor-intensive.

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