Combining spectral and texture features for aquatic plant species classification. A comparison of remote sensing data

Zhang, Yuqi

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Master Computer Science

The following thesis was written by a student in the 2018-2019 class of the Master Computer Science programme at Leiden University.

Thesis details

Title	Combining spectral and texture features for aquatic plant species classification. A comparison of remote sensing data
Student	Zhang, Yuqi
Programme	Master Computer Science
Year	2018-2019
Supervisors	Kowalczyk, dr. W.J. (Wojtek) Wang, dr. H. (Hao) dr. E. Penning, S.G. Aguilar (third supervisor)
Thesis	Open Thesis PDF

Citation details

Zhang, Yuqi, Combining spectral and texture features for aquatic plant species classification. A comparison of remote sensing data, Thesis Master Computer Science, LIACS, Leiden University, 2019.