Paper
9 October 2008 Introduction to an airborne remote sensing system equipped onboard the Chinese marine surveillance plane
Author Affiliations +
Proceedings Volume 7106, Sensors, Systems, and Next-Generation Satellites XII; 71061S (2008) https://doi.org/10.1117/12.799719
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom
Abstract
The airborne remote sensing system onboard the Chinese Marine Surveillance Plane have three scanners including marine airborne multi-spectrum scanner(MAMS), airborne hyper spectral system(AISA+) and optical-electric platform(MOP) currently. MAMS is developed by Shanghai Institute of Technology and Physics CAS with 11 bands from ultraviolet to infrared and mainly used for inversion of oceanic main factors and pollution information, like chlorophyll, sea surface temperature, red tide, etc. The AISA+ made by Finnish Specim company is a push broom system, consist of a high spectrum scanner head, a miniature GPS/INS sensor and data collecting PC. It is a kind of aviation imaging spectrometer and has the ability of ground target imaging and measuring target spectrum characteristic. The MOP mainly supports for object watching, recording and track. It mainly includes 3 equipments: digital CCD with Sony-DXC390, CANON EOS film camera and digital camera Sony F717. This paper mainly introduces these three remote sensing instruments as well as the ground processing information system, involving the system's hardware and software design, related algorithm research, etc.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fang Gong, Difeng Wang, Delu Pan, and Zengzhou Hao "Introduction to an airborne remote sensing system equipped onboard the Chinese marine surveillance plane", Proc. SPIE 7106, Sensors, Systems, and Next-Generation Satellites XII, 71061S (9 October 2008); https://doi.org/10.1117/12.799719
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KEYWORDS
Ocean optics

Surveillance

Sensors

Sensing systems

Remote sensing

Pollution

Airborne remote sensing

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