Diffused Matrix Format: A New Storage and Processing Format for Airborne Hyperspectral Sensor Images

Sensors

Pablo Martínez²  Alejandro Cristo²  Magaly Koch³  Rosa Mª. Pérez²  Thomas Schmid¹ 

[1] CIEMAT, Avda. Complutense 22, 28040, Madrid, Spain; E-Mail:;Escuela Politécnica de Cáceres, Universidad de Extremadura, Avda. Universidad s/n, 10071, Cáceres, Spain; E-Mails:;Center for Remote Sensing, Boston University, 725 Commonwealth Avenue, Boston, MA, USA; E-Mail:

关键词: hyperspectral images;    linear spectral unmixing;    remote sensing data format;   

DOI  :  10.3390/s100504996

来源: mdpi

【 摘 要 】

At present, hyperspectral images are mainly obtained with airborne sensors that are subject to turbulences while the spectrometer is acquiring the data. Therefore, geometric corrections are required to produce spatially correct images for visual interpretation and change detection analysis. This paper analyzes the data acquisition process of airborne sensors. The main objective is to propose a new data format called Diffused Matrix Format (DMF) adapted to the sensor's characteristics including its spectral and spatial information. The second objective is to compare the accuracy of the quantitative maps derived by using the DMF data structure with those obtained from raster images based on traditional data structures. Results show that DMF processing is more accurate and straightforward than conventional image processing of remotely sensed data with the advantage that the DMF file structure requires less storage space than other data formats. In addition the data processing time does not increase when DMF is used.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.