|
Records |
Links |
|
Author |
Suárez P. |
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Processing and Representation of Multispectral Images Using Deep Learning Techniques |
Type |
Magazine Article |
|
Year |
2021 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
In Electronic Letters on Computer Vision and Image Analysis |
Abbreviated Journal |
|
|
|
Volume |
Vol. 19 |
Issue |
Issue 2 |
Pages |
pp. 5-8 |
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
|
|
|
Corporate Author |
Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector |
Thesis |
Master's thesis |
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
Español |
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
|
Approved |
yes |
|
|
Call Number |
cidis @ cidis @ |
Serial |
122 |
|
Permanent link to this record |
|
|
|
|
Author |
Velesaca, H.O., Suárez, P. L., Mira, R., & Sappa, A.D. |
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Computer Vision based Food Grain Classification: a Comprehensive Survey |
Type |
Journal Article |
|
Year |
2021 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
In Computers and Electronics in Agriculture Journal. (Article number 106287) |
Abbreviated Journal |
|
|
|
Volume |
Vol. 187 |
Issue |
|
Pages |
|
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
|
Approved |
no |
|
|
Call Number |
cidis @ cidis @ |
Serial |
159 |
|
Permanent link to this record |
|
|
|
|
Author |
Patricia L. Suárez, Angel D. Sappa, Boris X. Vintimilla |
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Cycle generative adversarial network: towards a low-cost vegetation index estimation |
Type |
Conference Article |
|
Year |
2021 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
IEEE International Conference on Image Processing (ICIP 2021) |
Abbreviated Journal |
|
|
|
Volume |
2021-September |
Issue |
|
Pages |
2783-2787 |
|
|
Keywords |
CyclicGAN, NDVI, near infrared spectra, instance normalization. |
|
|
Abstract |
This paper presents a novel unsupervised approach to estimate the Normalized Difference Vegetation Index (NDVI).The NDVI is obtained as the ratio between information from the visible and near infrared spectral bands; in the current work, the NDVI is estimated just from an image of the visible spectrum through a Cyclic Generative Adversarial Network (CyclicGAN). This unsupervised architecture learns to estimate the NDVI index by means of an image translation between the red channel of a given RGB image and the NDVI unpaired index’s image. The translation is obtained by means of a ResNET architecture and a multiple loss function. Experimental results obtained with this unsupervised scheme show the validity of the implemented model. Additionally, comparisons with the state of the art approaches are provided showing improvements with the proposed approach. |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
|
Approved |
no |
|
|
Call Number |
cidis @ cidis @ |
Serial |
164 |
|
Permanent link to this record |
|
|
|
|
Author |
Patricia L. Suárez, Angel D. Sappa and Boris X. Vintimilla |
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Deep learning-based vegetation index estimation |
Type |
Book Chapter |
|
Year |
2021 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Generative Adversarial Networks for Image-to-Image Translation Book. |
Abbreviated Journal |
|
|
|
Volume |
Chapter 9 |
Issue |
Issue 2 |
Pages |
205-232 |
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
|
Approved |
no |
|
|
Call Number |
cidis @ cidis @ |
Serial |
137 |
|
Permanent link to this record |
|
|
|
|
Author |
Pereira J., Mora M. & W. Agila |
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Qualitative Model to Maximize Shrimp Growth at Low Cost |
Type |
Journal Article |
|
Year |
2021 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
5th Ecuador Technical Chapters Meeting (ETCM 2021), Octubre 12 – 15 |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
|
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
|
Approved |
no |
|
|
Call Number |
cidis @ cidis @ |
Serial |
167 |
|
Permanent link to this record |
|
|
|
|
Author |
Mehri, A, Ardakani, P.B., Sappa, A.D. |
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
LiNet: A Lightweight Network for Image Super Resolution |
Type |
Conference Article |
|
Year |
2021 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
25th International Conference on Pattern Recognition (ICPR), enero 10-15, 2021 |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
7196-7202 |
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
|
Approved |
no |
|
|
Call Number |
cidis @ cidis @ |
Serial |
149 |
|
Permanent link to this record |
|
|
|
|
Author |
Luis Jacome-Galarza, Monica Villavicencio-Cabezas, Miguel Realpe-Robalino, Jose Benavides-Maldonado |
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Software Engineering and Distributed Computing in image processing intelligent systems: a systematic literature review. |
Type |
Conference Article |
|
Year |
2021 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
19th LACCEI International Multi-Conference for Engineering, Education, and Technology |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
|
|
|
Keywords |
processing, software engineering, deep learning, intelligent vision systems, cloud computing. |
|
|
Abstract |
Deep learning is experiencing an upward technology trend that is revolutionizing intelligent systems in several domains, such as image and speech recognition, machine translation, social network filtering, and the like. By reviewing a total of 80 studies reported from 2016 to 2020, the present article evaluates the application of software engineering to the field
of intelligent image processing systems, it also offers insights about aspects related to distributed computing for this type of systems. Results indicate that several topics of software engineering are mostly applied when academics are involved in developing projects associated to this kind of intelligent systems. The findings provide evidences that Apache Spark is the most
utilized distributed computing framework for image processing. In addition, Tensorflow is a popular framework used to build convolutional neural networks, which are the prevailing deep learning algorithms used in intelligent image processing systems.
Also, among big cloud providers, Amazon Web Services is the preferred computing platform across the industry sectors, followed by Google cloud. |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
English |
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
|
Approved |
no |
|
|
Call Number |
cidis @ cidis @ |
Serial |
154 |
|
Permanent link to this record |
|
|
|
|
Author |
Jacome-Galarza L.-R |
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Crop yield prediction utilizing multimodal deep learning |
Type |
Conference Article |
|
Year |
2021 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
16th Iberian Conference on Information Systems and Technologies, CISTI 2021, junio 23 – 26, 2021 |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
|
|
|
Keywords |
Agricultura de precisión; sensores remotos; aprendizaje profundo multimodal; IoT; agentes inteligentes; computación aplicada. |
|
|
Abstract |
La agricultura de precisión es una práctica vital para
mejorar la producción de cosechas. El presente trabajo tiene
como objetivo desarrollar un modelo multimodal de aprendizaje
profundo que es capaz de producir un mapa de salud de
cosechas. El modelo recibe como entradas imágenes multiespectrales
y datos de sensores de campo (humedad,
temperatura, estado del suelo, etc.) y crea un mapa de
rendimiento de la cosecha. La utilización de datos multimodales
tiene como finalidad extraer patrones ocultos del estado de salud
de las cosechas y de esta manera obtener mejores resultados que
los obtenidos mediante los índices de vegetación. |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
Español |
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
|
Approved |
no |
|
|
Call Number |
cidis @ cidis @ |
Serial |
150 |
|
Permanent link to this record |
|
|
|
|
Author |
Henry O. Velesaca, Patricia L. Suarez, Dario Carpio, and Angel D. Sappa |
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy |
Type |
Conference Article |
|
Year |
2021 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science |
Abbreviated Journal |
|
|
|
Volume |
13017 |
Issue |
|
Pages |
131-143 |
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
|
Approved |
no |
|
|
Call Number |
cidis @ cidis @ |
Serial |
163 |
|
Permanent link to this record |
|
|
|
|
Author |
Patricia L. Suárez, Dario Carpio, and Angel Sappa |
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Non-Homogeneous Haze Removal through a Multiple Attention Module Architecture. |
Type |
Conference Article |
|
Year |
2021 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science |
Abbreviated Journal |
|
|
|
Volume |
13018 |
Issue |
|
Pages |
178-190 |
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
|
Approved |
no |
|
|
Call Number |
cidis @ cidis @ |
Serial |
162 |
|
Permanent link to this record |