Short-wave infrared imaging technology on space optical remote sensing system

2017 ◽  
Author(s):  
Wei Jiang ◽  
Qiaolin Huang ◽  
Zhanping Zhao ◽  
Lingyan Gao ◽  
Shaoyuan Cheng
Keyword(s):  
Remote Sensing ◽  
Infrared Imaging ◽  
Short Wave ◽  
Optical Remote Sensing ◽  
Imaging Technology ◽  
Sensing System ◽  
Short Wave Infrared

InGaAs based heterojunction phototransistors: Viable solution for high-speed and low-noise short wave infrared imaging

2019 ◽  
Vol 114 (16) ◽  
pp. 161101 ◽  
Author(s):  
Mohsen Rezaei ◽  
Min-Su Park ◽  
Cobi Rabinowitz ◽  
Chee Leong Tan ◽  
Skylar Wheaton ◽  
...  
Keyword(s):  
High Speed ◽  
Infrared Imaging ◽  
Short Wave ◽  
Low Noise ◽  
Viable Solution ◽  
Short Wave Infrared

Active and passive short-wave infrared and near-infrared imaging for horizontal and slant paths close to ground

2013 ◽  
Vol 52 (20) ◽  
pp. 4763 ◽  
Author(s):  
Ove Steinvall ◽  
Magnus Elmqvist ◽  
Tomas Chevalier ◽  
Ove Gustafsson
Keyword(s):  
Near Infrared ◽  
Infrared Imaging ◽  
Short Wave ◽  
Near Infrared Imaging ◽  
Short Wave Infrared

An evaluation of short‐wave‐infrared (SWIR) data from the AVIRIS and GEOSCAN instruments for mineralogical mapping at Cuprite, Nevada

Geophysics ◽  
1991 ◽  
Vol 56 (9) ◽  
pp. 1432-1440 ◽  
Author(s):  
Simon J. Hook ◽  
Christopher D. Elvidge ◽  
Michael Rast ◽  
Hiroshi Watanabe
Keyword(s):  
Remote Sensing ◽  
Infrared Imaging ◽  
Short Wave ◽  
Spectral Features ◽  
Imaging Spectrometer ◽  
Sensing Systems ◽  
Alteration Minerals ◽  
Remote Sensing Systems ◽  
Residual Algorithm ◽  
Color Composite

An evaluation was performed on SWIR (2000–2400 nm) data from two airborne remote sensing systems for discriminating and identifying alteration minerals at Cuprite, Nevada. The data were acquired by the NASA Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS) and the GEOSCAN Mk II multispectral scanner. The evaluation involved comparison of processed imagery and image‐derived spectra with existing alteration maps and laboratory spectra of rock samples from Cuprite. Results indicate that both the AVIRIS and GEOSCAN data permit the discrimination of areas of alunite, buddingtonite, kaolinite, and silicification using color composite images formed from three SWIR bands processed with either the decorrelation stretch or a log residual algorithm. The laboratory spectral features of alunite, kaolinite and buddingtonite could be seen clearly only in the log residual processed AVIRIS data. However, this does not preclude their identification with the GEOSCAN data.

scholarly journals Patterned achromatic elliptical polarizer for short-wave infrared imaging polarimetry

2021 ◽  
Author(s):  
Linan Jiang ◽  
Sawyer Miller ◽  
Xingzhou Tu ◽  
Matthew Smith ◽  
Yang Zou ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Short Wave ◽  
Imaging Polarimetry ◽  
Short Wave Infrared

scholarly journals THE MATHEMATICAL MODEL OF OPTICAL REMOTE SENSING SYSTEM SIGNAL CONSIDERING BROKEN CLOUDINESS EFFECTS

2015 ◽  
Vol XL-7/W3 ◽  
pp. 1145-1148
Author(s):  
V. P. Budak ◽  
O. V. Shagalov
Keyword(s):  
Remote Sensing ◽  
Complete Solution ◽  
Optical Remote Sensing ◽  
Approximate Methods ◽  
Sensing System ◽  
Two Stages ◽  
The Mathematical Model ◽  
Special Case ◽  
Speed And Accuracy ◽  
Good Agreement

With increasing of the accuracy of measuring equipment for the optical remote sensing in recent years the requirements for speed and accuracy of the algorithms for satellite data processing has greatly increased. It became necessary accurately to account all of the known factors, which affect the signal significantly. At each time, more than half of the planet is covered with clouds, so it is almost always necessary to take measurements into breaks in clouds. Cloudiness is among those factors which affect significantly the signal and its neglect in extreme cases can lead to an error of 140%. Here we propose a new solution of the radiative transfer equation (RTE) for a slab of a turbid medium with consideration of broken clouds. We use the classical approach to solving RTE: complete solution is represented as the sum of the anisotropic and regular parts. We express anisotropic part using small-angle modification of the spherical harmonics method. For the regular part we propose to use quasi two-stream approximation. This method is a special case of the synthetic iterations method. The method is based on splitting the ordinary iteration into two stages. At the first step one of approximate methods is used, and on the second step one ordinary iteration is used. We use two-stream approximation as an approximate method. In this paper we proposed a solution for the simplest case of broken clouds - cylindrical hole in the slab. Comparison of the algorithm was performed with established program MDOM, and showed good agreement.

scholarly journals SACTNet: Spatial Attention Context Transformation Network for Cloud Removal

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Linlin Liu ◽  
Shaohui Hu
Keyword(s):  
Remote Sensing ◽  
Spatial Attention ◽  
Information Acquisition ◽  
Dynamic Monitoring ◽  
Optical Remote Sensing ◽  
Sensing System ◽  
Optical Remote Sensing Image ◽  
Feature Information ◽  
Cloud Removal ◽  
Ocean Monitoring

Optical remote sensing image has the advantages of fast information acquisition, short update cycle, and dynamic monitoring. It plays an important role in many earth observation activities, such as ocean monitoring, meteorological observation, land planning, and crop yield investigation. However, in the process of image acquisition, an optical remote sensing system is often disturbed by clouds, resulting in low image clarity or even loss of ground information, affecting the acquisition of feature information and subsequent applications. We propose a spatial attention recurrent neural network model combined with a context transformation network to overcome the challenge of cloud occlusion. This model can obtain the core information in remote sensing images and consider the remote dependencies in the network. Furthermore, the network proposed in this paper has achieved excellent performance on the RICE1 and RICE2 datasets.

Scenery Radiation Acquisition Features of Short-Wave Infrared Imaging Spectrometer

2010 ◽  
Vol 30 (5) ◽  
pp. 1304-1307
Author(s):  
梁爽 Liang Shuang ◽  
安志勇 An Zhiyong ◽  
冯玉涛 Feng Yutao ◽  
于秋水 Yu Qiushui
Keyword(s):  
Infrared Imaging ◽  
Short Wave ◽  
Imaging Spectrometer ◽  
Short Wave Infrared
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