*Tatsuharu Ono1, Yukihiro Takahashi1, Ahmad Shaqeer Mohamed Thaheer2, Garid Zorigoo1, Nobuyasu Naruse3
(1.Department of Cosmosciences, Graduate School of Science, Hokkaido University, 2.Hokkaido University, 3.Faculty of Medicine, Shiga University of Medical Science)
Keywords:Multiband camera, Spectrometer, Equipment instrumen
Sensors mounted on the micro-satellites or micro-drone are an effective tool to acquire information over a wide area rapidly. Investigation of vegetation, natural resources, and geological surveys use them. One of the sensors for optical measuring is the RGB camera, whose filters are usually broadband. By comparing these wavelengths, we can obtain the index (e.g., vegetation index, NDVI). Multiband camera has a doze filters. A hyperspectral camera can measure hundreds of wavelength bands. These cameras can obtain spectra from visible light to near-infrared wavelengths. Minerals are identified based on the absorption spectrum's FWHM, depth, and peak wavelength position. It would be necessary to increase the spectral resolution to improve the accuracy of identifying the mineral types. Analyzing many wavelengths increases the amount of information on the target. However, the cost of the instruments becomes expensive, and data acquisition and processing rise in complexity. It is hard to prepare many instruments to measure minerals on site. We can obtain the ideal spectrum of minerals through laboratory experiments. However, we need to find out what kind of contamination is occurring in the spectrum of the on-site minerals. It is necessary to prepare a database of many conditions spectra. Using many instruments can acquire it effectively.
We developed the simple spectrometer and the four-band camera to obtain the spectrum database and develop an effective discrimination method. It is necessary to select the characteristic wavelength to effectively identify the type of minerals and controls the cost of instruments. We loaned this spectrometer to several locations and measured the target to create a reflectance spectra database. Based on this database, we will develop a discrimination method by selecting characteristic wavelengths. The selected four wavelength bandpass filters (FWHM=10 nm) are mounted on a four-band camera. The four-band camera can take four-band images simultaneously. The effect of the atmosphere, such as vapor, would be small on narrowband images. We evaluate the performance of the developed discrimination method and selected wavelength using this spectrum and pictures. In the future, the selected wavelength can be used for microsatellites that can change the wavelength, like Liquid Tunable Filters (LCTF) and new satellites.