Remote Sensing LettersDecoster, I., Y. M. Govaerts, E. Baudrez, S. Dewitte, A. Velazquez, A. Blazquez, and J. Cornelis (2013) Evidence of Pre-Launch Characterization Problem of Meteosat-7 Visible Spectral Response. Remote Sensing Letters 4: 1008-17. doi:10.1080/2150704X.2013.828181....
Exo-atmospheric (i.e., arriving at the top of the atmosphere) solar spectral irradiance and the daylight-adapted response of the human eye. As indicated, most optical remote-sensing systems are multispectral, acquiring images in several spectral bands, more or less simultaneously. They provide ...
The motivation of multispectral remote sensing is that different types of materials can be distinguished on the basis of differences in their spectral signatures. Although this desirable situation is often reached in practice, it is also often foiled by any number of factors, including • natural ...
Figure 6 shows the one-way total atmospheric transmission curve for two different water vapor and aerosol conditions, corresponding to extremes of wet and dirty versus clean and dry atmospheres. Figure 6 also shows the contri- ? SHAW AND BURKE Spectral Imaging for Remote Sensing Total 1.0 0.8 ...
where [λ1, λ2] is the range of film’s response spectrum, l1(λ) is the spectrum of the illumination (after flat field correction) and trec(λ) is the “reciprocal” transmission curve of blank film to correct the inherent unbalanced spectral response of the film. According to the ...
(without interpolation). The camera also provides a USB 3.0 interface for power and data transfer. Images may be acquired at up to 170 frames/second. An IR short pass filter which blocks wavelengths above 875 nm was mounted on top of the camera lens resulting in the sensor response curve ...
An IR short pass filter which blocks wavelengths above 875 nm was mounted on top of the camera lens resulting in the sensor response curve shown in Fig. 6b for the 25 camera channels. The exposure time of the camera was adjusted to avoid saturation and fixed at a value of 50 ms through...
used to evaluate agricultural products, such as Deep-Yield, CNN-LSTM, and Conv-LSTM. And it showed that machine learning is widely applied in remote sensing technology. However, In the above-mentioned research, there are more studies on the application of machine learning in multi-source remote...
addition, applying the continuum removal on wide spectral range such as the one commonly used in remote sensing from 350 to 2500 nm might affect the emphasis of the absorption features, i.e., some may be missed when slightly low local reflectance maxima do not fall on the continuum curve. ...
Displayed on the right, spectral response curves depict the comparison between the reconstructed results from all methods and the ground truth for these positions. It can be observed that the spectral curve reconstructed by TCSSA closely resembles the ground truth curve compared to other methods. ...