1175 
AIRBORNE MULTIDIMENSION INTEGRATED REMOTE SENSING SYSTEM AMIRS 
AND IT’S DATA FUSION 
Ma Yanhua 1 ’ 2 , Jing Zhongliang 1 , Wang Jianyu 2 , Shu Rong 2 
'• IAST, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030 China - mayanhua@mail.sitp.ac.cn 
2 . Shanghai Institute of Technical Physics, CAS, Shanghai, 200083, China - shurong@mail.sitp.ac.cn 
WG VII/6 
KEY WORDS: multidimensional integrated remote sensing system, hyperspectral images, preprocessing, airborne, image fusion 
ABSTRACT: 
A type of integrated remote sensing system (airborne multidimension integrated remote sensing system —AMIRS) which can 
acquire hyperspectral images ,high special numeric stereo images and position-orientation-data at the same time is developed in 2005 
to improve the efficiency of remote sensing system .In this paper the data processing flow of the system is listed briefly .An attempt 
of the data fusion to get classified map directly from hyperspectral images and high special images is introduced . The method 
workflow include pure pixel judgement by grads , pure pixel spectral diffusing according the edge of high spacial image, linear pixel 
decompose with already-known pure pixel spectral which simplified the equation ,and un-pure pixel spectral diffusing . In this article 
the image fusion method try to base on rough image register methods that means high register precision are not necessary,to do so, 
the radiation correlation of two kinds images synchronously acquired are used . Some of experiment result are listed . 
1. INTRODUCTION 
A type of high - special - resolution - and-high - spectral - 
resolution Airborne Integrated Remote Sensing System - 
AMIRS ( Xu Weiming, etc,2008) is developed in Shanghai 
Institute of Technical Physics in 2005. The system can obtain 
hyperspectral images,high spatial resolution images, GPS/IMU 
data to calibration the pose of the plane at the same time 
(showed in figure 1). 
To make better use of the data of this system, a set of data 
processing system is developpd. The data fusione introduced in 
this article is an attempt of the united-application of 
hyperspectral images and the high special images. Only those 
related with image fusion is introducfed. 
The Parameters of the raw experiments images is showed 
below: 
- Spatial pi>ftls: 
• 610-660nm, 535-585nm, 430-490nm for 
multispectral image, 3 bands 
• 450-900nm for hyperspectral image, 124 bands, 
spectral resolution better than 5nm 
- Instantaneous FOV: 
• 0.1m GSD(Ground Sample Distance) for 
panchromatic and multispectral image 
• 0.6m(across track)* 1.2m(along track) GSD for 
hyperspectral image; 
All the data that used in this article were collected by the 
integrated system. Of course, the data that used in image fusion 
are post-processed so some Parameters changed, for example, 
GSD for hyperspectral image are about lm*lm after pose 
correction. This will not be mentioned later. 
Figure 1 the structure of AMIRS 
2. THE PREPROCESSING 
The two kinds of images are both preprocessed before 
fusion .The workflow of the preprocessing is showed in figure 
2. 
2,1 Image correction 
The radiation calibration and pose correction are general 
preprocessing for both data to any application. Both kinds of the 
images are Radiation calibrated and geometry corrected 
respectively on their own characteristics. 
Both of the hyperspectral data and high special RGB data are 
calibrated in the lab with the same integrating sphere. The 
calibration of the two instruments not only is used to calibrate 
the image, but also guarantees the radiation correlation of two 
kinds images in register. 
The images used in this article are not completely geometry