Application of Remote Sensing Methods to Monitor Coastal Zones

In this Special Issue “Application of Remote Sensing Methods to Monitor Coastal Zones” nine original research papers were published, with topics covering a wide range of ranging of remote sensing applications including coastal topography, bathymetry, land cover, and nearshore hydrodynamics [...]

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Effective compression of hyperspectral imagery using an improved 3D DCT approach for land-cover analysis in remote-sensing applications

International Journal of Remote Sensing ◽

10.1080/01431161.2014.968682 ◽

2014 ◽

Vol 35 (20) ◽

pp. 7316-7337 ◽

Cited By ~ 10

Author(s):

Tong Qiao ◽

Jinchang Ren ◽

Meijun Sun ◽

Jiangbin Zheng ◽

Stephen Marshall

Keyword(s):

Remote Sensing ◽

Land Cover ◽

Hyperspectral Imagery ◽

Sensing Applications ◽

Remote Sensing Applications

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Broad-band Viscoelastic Rotational Vibration Control for Remote Sensing Applications

Journal of Vibration and Control ◽

10.1177/1077546305057222 ◽

2005 ◽

Vol 11 (11) ◽

pp. 1339-1356 ◽

Cited By ~ 10

Author(s):

Adam L. Webster ◽

William H. Semke

Keyword(s):

Remote Sensing ◽

Vibration Isolation ◽

Imaging System ◽

Broad Band ◽

Space Station ◽

Single Element ◽

Sensing Applications ◽

Wide Range ◽

Rotational Vibration ◽

Remote Sensing Applications

The ability to eliminate, or effectively control, vibration in remote sensing applications is critical. Any perturbations of an imaging system are greatly magnified over the hundreds of kilometers from the orbiting space platform to the Earth's surface. Space platforms, such as the International Space Station, are not as predictable or stable as many other spacecraft. Therefore, an effective vibration isolation and/or absorber system is needed that operates over a wide range of excitation frequencies. A passive system is also preferred to reduce the resources required, as well as to provide a reliable and self-contained system. To accomplish these goals, a vibration amplitude limiting system has been developed that uses both vibration isolation and absorber components. Viscoelastic structural elements that act as both a spring and a damper in a single element are implemented in the design. This configuration also demonstrates a favorable frequencydependent response and produces a system with improved dynamic behavior compared to conventional spring and damper designs. This rotation limiting vibration system has been designed and analyzed for use in digital remote sensing imaging. The transmissibility and the ground jitter associated with the system are determined. A summary of these results will be presented along with a comparison to a more conventional vibration isolation/absorber system.

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Foreword to the Special Issue on the 8th Specialist Meeting on Microwave Radiometry and Remote Sensing Applications (MicroRad04)

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2005.848050 ◽

2005 ◽

Vol 43 (5) ◽

pp. 919-923

Author(s):

N. Pierdicca ◽

F.S. Marzano ◽

M.T. Hallikainen ◽

P. Pampaloni ◽

E.R. Westwater

Keyword(s):

Remote Sensing ◽

Microwave Radiometry ◽

Special Issue ◽

Sensing Applications ◽

Remote Sensing Applications

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Remote Sensing by using Unsupervised Algorithm

10.20944/preprints202107.0257.v1 ◽

2021 ◽

Author(s):

Afshan Saleem

Keyword(s):

Remote Sensing ◽

Image Segmentation ◽

Unsupervised Learning ◽

Hyperspectral Image ◽

Relevant Information ◽

Spectral Signature ◽

Sensing Applications ◽

Hyper Spectral ◽

Wide Range ◽

Remote Sensing Applications

Hyper-spectral images contain a wide range of bands or wavelength due to which they are rich in information. These images are taken by specialized sensors and then investigated through various supervised or unsupervised learning algorithms. Data that is acquired by hyperspectral image contain plenty of information hence it can be used in applications where materials can be analyzed keenly, even the smallest difference can be detected on the basis of spectral signature i.e. remote sensing applications. In order to retrieve information about the concerned area, the image has to be grouped in different segments and can be analyzed conveniently. In this way, only concerned portions of the image can be studied that have relevant information and the rest that do not have any information can be discarded. Image segmentation can be done to assort all pixels in groups. Many methods can be used for this purpose but in this paper, we discussed k means clustering to assort data in AVIRIS cuprite, AVIRIS Muffet and Rosis Pavia in order to calculate the number of regions in each image and retrieved information of 1st, 10th and100th band. Clustering has been done easily and efficiently as k means algorithm is the easiest approach to retrieve information.

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