MARC details
| 000 -LEADER |
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| fixed length control field |
01994nam a22002777a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ZW-GwMSU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20230508154947.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230508b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
MSU |
| Transcribing agency |
MSU |
| Description conventions |
rda |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
EBADI, Ladan |
| 245 ## - TITLE STATEMENT |
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| Title |
A review of applying second-generation wavelets for noise removal from remote sensing data |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Verlag |
| Name of producer, publisher, distributor, manufacturer |
Springer |
| Date of production, publication, distribution, manufacture, or copyright notice |
2013 |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
Environmental earth sciences |
| Volume/sequential designation |
Volume , number , |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
The processing of remotely sensed data includes compression, noise reduction, classification, feature extraction, change detection and any improvement associated with the problems at hand. In the literature, wavelet methods have been widely used for analysing remote sensing images and signals. The second-generation of wavelets, which is designed based on a method called the lifting scheme, is almost a new version of wavelets, and its application in the remote sensing field is fresh. Although first-generation wavelets have been proven to offer effective techniques for processing remotely sensed data, second-generation wavelets are more efficient in some respects, as will be discussed later. The aim of this review paper is to examine all existing studies in the literature related to applying second-generation wavelets for denoising remote sensing data. However, to make a better understanding of the application of wavelet-based denoising methods for remote sensing data, some studies that apply first-generation wavelets are also presented. In the part of hyperspectral data, there is a focus on noise removal from vegetation spectrum. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
second-generation wavelet |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
noise removal |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
hyperspectral |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
SHAFRI, Helmi Z.M |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
MANSOR, Shatri B. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
ASHUROV, Ravshan |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://doi.org/10.1007/s12665-013-2325-z |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Journal Article |