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Mendeley readers
Chapter title |
Improving the ANN Classification Accuracy of Landsat Data Through Spectral Indices and Linear Transformations (PCA and TCT) Aimed at LU/LC Monitoring of a River Basin
|
---|---|
Chapter number | 32 |
Book title |
Computational Science and Its Applications -- ICCSA 2016
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-42108-7_32 |
Book ISBNs |
978-3-31-942107-0, 978-3-31-942108-7
|
Authors |
Antonio Novelli, Eufemia Tarantino, Grazia Caradonna, Ciro Apollonio, Gabriella Balacco, Ferruccio Piccinni |
Editors |
Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria Alves Coutinho Rocha, Carmelo Torre, David Taniar, Bernady O. Apduhan, Elena Stankova, Shangguang Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 19% |
Student > Doctoral Student | 2 | 13% |
Unspecified | 1 | 6% |
Other | 1 | 6% |
Student > Ph. D. Student | 1 | 6% |
Other | 1 | 6% |
Unknown | 7 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 19% |
Environmental Science | 1 | 6% |
Business, Management and Accounting | 1 | 6% |
Unspecified | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Other | 3 | 19% |
Unknown | 6 | 38% |