ATH1500-17
22Pages

DataSheet SWIR Hyperspectral Camera Feature： infrared hyperspectral imaging system with small size and light weight. The spectral range is 1000-1700nm, which is suitable for airborne. Except, ATH1500-17 has Superior imaging performance high spatial resolution, high spectral resolution, wide Data format is compatible with ENVI; imaging range, etc. And it consists of two parts: imaging lens and hyperspectral camera. ATH1500-17 uses high-performance Te-cooled No mechanical scanning, high reliability; CCD imaging device with 640 x 512 pixels, which makes it has clear image, less noise and good linearity. Prospecting for geology and minerals; Agriculture Monitoring: Crop condition and yield assessment laboratory, field, and industrial applications, making it Pasture monitoring； become the right-hand in applications such as drug Lake and watershed monitoring； quality inspection, food safety, and agricultural Remote sensing teaching and research ； Industrial sorting； protection applications, and meets the stringent requirements of Coastline and ocean monitoring； required in short-wave infrared chemical imaging Forest pest and fire prevention monitoring； ATH1500-17 provides excellent stability and sensitivity monitoring； Water quality and soil monitoring； 农畜产品品质检测 Product data information is current as of publication data. Products conform to specifications per the terms of Optosky Standard warranty. Copyright © Optosky(Xiamen) Photonics Inc. 2015 1503 Bld. A04, 3rd Software Park

DataSheet 1. Performance Parameter ITEM Spectral Range Sensor Type Te-cooled InGaAs SWIR Detector Power Supply Detector Target Surface Size Image Resolution Spatial Channels Spectral Channels Frame Rate Working Temp. Storage Temp. Product data information is current as of publication data. Products conform to specifications per the terms of Optosky Standard warranty. Copyright © Optosky(Xiamen) Photonics Inc. 2015 1503 Bld. A04, 3rd Software Park, Jimei, Xiamen, 361005, China Tel: +86-592-6

DataSheet 2. ATH1500-17 Physical & Size Product data information is current as of publication data. Products conform to specifications per the terms of Optosky Standard warranty. Copyright © Optosky(Xiamen) Photonics Inc. 2015 1503 Bld. A04, 3rd Software Park, Jimei, Xiamen, 361005, China Tel: +86-592-6102588

DataSheet 3. ATH1500-17 Hyperspectral Imaging Figure 1 Hyperspectral image taken by ATH1500-17; (a) 1100nm spectrum; (b) 1300nm spectrum; (c) 1500nm spectrum 4. ATH1500 Hyperspectral Camera Series(Other Models) ATH1500 Series Model ATH1500 Feature 400-1000nm VIS-NIR Hyperspectral Camera 1.0~1.7μm SWIR Hyperspectral Camera 1.2~2.5μm SWIR Hyperspectral Camera 2.5~5.0μm MWIR Hyperspectral Camera 1.2~5.0μm SWIR Hyperspectral Camera 0.4~1.7μm VIS-NIR Hyperspectral Camera Product data information is current as of publication data. Products conform to specifications per the terms of Optosky...

Figure 2 Data cube captured Figure 3 Drone experiment Product data information is current as of publication data. Products conform to specifications per the terms of Optosky Standard warranty. Copyright © Optosky(Xiamen) Photonics Inc. 2015 1503 Bld. A04, 3rd Software Park, Jimei, Xiamen, 361005, China Tel: +86-592-6102588

Figure 4 Outdoor experiment sceneⅠ Figure 5 Outdoor experiment sceneⅡ Figure 6 Outdoor experiment scene Ⅲ Product data information is current as of publication data. Products conform to specifications per the terms of Optosky Standard warranty. Copyright © Optosky(Xiamen) Photonics Inc. 2015 1503 Bld. A04, 3rd Software Park, Jimei, Xiamen, 361005, China Tel: +86-592-610

Figure 7 Outdoor experiment scene Ⅳ Figure 8 Outdoor experiment sceneⅤ 5.1 Industrial Sorting Application Product data information is current as of publication data. Products conform to specifications per the terms of Optosky Standard warranty. Copyright © Optosky(Xiamen) Photonics Inc. 2015 1503 Bld. A04, 3rd Software Park, Jimei, Xiamen, 361005, China Tel: +86-592-61025

With the development of NIR hyperspectral technology, such as Jiang tried to use near-infrared hyperspectral technology to detect impurities in cotton, especially the application of SWIR hyperspectral technology, which significantly improved the detection rate of plastic films compared with conventional methods. Hyperspectral imaging technology is based on a very large number of narrow-band image data technology, which can obtain image information and spectral information of the sample while imaging the sample. Commonly used hyperspectral data processing methods include partial least...

for Apple's external quality based on machine vision technology and multi-spectral machine vision technology. Figure 11 Schematic diagram and physical diagram developed by Dr. Zhang Baohua of Shanghai Jiaotong University; (a) Schematic diagram; (b) Physical diagram Figure 12: Flow chart of early damage detection algorithm for apple surface Product data information is current as of publication data. Products conform to specifications per the terms of Optosky Standard warranty. Copyright © Optosky(Xiamen) Photonics Inc. 2015 1503 Bld. A04, 3rd Software Park, Jimei, Xiamen, 361005, China Tel:...

Figure 13 Recognition results of early decay of some apples and intermediate processing (a) rot segmentation results (b) final results Figure 14 Corn seed sorting application (Dr. Chaopeng Wang, Northwest A&F University) Figure 15 The spectrum of natural green plants, artificial green leaves, green plastic, and red apples Product data information is current as of publication data. Products conform to specifications per the terms of Optosky Standard warranty. Copyright © Optosky(Xiamen) Photonics Inc. 2015 1503 Bld. A04, 3rd Software Park, Jimei, Xiamen, 361005, China Tel: +86-592-6102588

DataSheet 5.2 Precision Agriculture Application Figure 16 Drone-borne hyperspectral imaging camera Figure 17 Green plants measured spectrum Crop growth monitoring and yield estimation: Due to the different external factors of crops at each stage of their growth and development, there will be certain differences in their internal composition and external morphology. The most important difference is the leaf area index. Leaf area index is a comprehensive index reflecting the individual characteristics and group characteristics of crops. Crop pest control: Remote sensing technology can monitor...