| Records |
Author  |
Pabelco Zambrano, Fernanda Calderon, Héctor Villegas, Jonathan Paillacho, Doménica Pazmiño, Miguel Realpe |
| Title |
UAV Remote Sensing applications and current trends in crop monitoring and diagnostics: A Systematic Literature Review |
Type |
Conference Article |
| Year |
2023 |
Publication |
IEEE 13th International Conference on Pattern Recognition Systems (ICPRS) 2023, julio 4-7 |
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 |
979-835033337-4 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
214 |
| Permanent link to this record |
| |
|
| |
| Author |
Patricia L. Suarez |
| Title |
Procesamiento y representación de imágenes multiespectrales usando técnicas de aprendizaje profundo (Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector.). Ph.D. thesis. |
Type |
Book Chapter |
| Year |
2020 |
Publication |
Ediciones FIEC-ESPOL. |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
|
| Corporate Author |
Ph.D. Angel Sappa, Director & Ph.D. Boris Vintimilla, Codirector. |
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 |
144 |
| Permanent link to this record |
| |
|
| |
| Author |
Patricia L. Suárez, Angel D. Sappa and Boris X. Vintimilla |
| Title |
Deep learning-based vegetation index estimation |
Type |
Book Chapter |
| Year |
2021 |
Publication |
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 |
Patricia L. Suárez, Angel D. Sappa, Boris X. Vintimilla |
| Title |
Cycle generative adversarial network: towards a low-cost vegetation index estimation |
Type |
Conference Article |
| Year |
2021 |
Publication |
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, Dario Carpio, and Angel Sappa |
| Title |
Non-Homogeneous Haze Removal through a Multiple Attention Module Architecture. |
Type |
Conference Article |
| Year |
2021 |
Publication |
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 |
| |
|
| |
| Author |
Patricia L. Suarez, Dario Carpio, Angel D. Sappa and Henry O. Velesaca |
| Title |
Transformer based Image Dehazing. |
Type |
Conference Article |
| Year |
2022 |
Publication |
16TH International Conference On Signal Image Technology & Internet Based Systems SITIS 2022. |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
148-154 |
| 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 |
195 |
| Permanent link to this record |
| |
|
| |
| Author |
Patricia L. Suarez, Dario Carpio, Angel Sappa |
| Title |
Boosting Guided Super-Resolution Performance with Synthesized Images |
Type |
Conference Article |
| Year |
2023 |
Publication |
17th International Conference On Signal Image Technology & Internet Based Systems |
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 |
225 |
| Permanent link to this record |
| |
|
| |
| Author |
Patricia L. Suarez, Dario Carpio, Angel Sappa |
| Title |
Depth Map Estimation from a Single 2D Image |
Type |
Conference Article |
| Year |
2023 |
Publication |
17th International Conference On Signal Image Technology & Internet Based Systems |
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 |
226 |
| Permanent link to this record |
| |
|
| |
| Author |
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
| Title |
Image patch similarity through a meta-learning metric based approach |
Type |
Conference Article |
| Year |
2019 |
Publication |
15th International Conference on Signal Image Technology & Internet based Systems (SITIS 2019); Sorrento, Italia |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
511-517 |
| Keywords |
|
| Abstract |
Comparing images regions are one of the core methods used on computer vision for tasks like image classification, scene understanding, object detection and recognition. Hence, this paper proposes a novel approach to determine similarity of image regions (patches), in order to obtain the best representation of image patches. This problem has been studied by many researchers presenting different approaches, however, the ability to find the better criteria to measure the similarity on image regions are still a challenge. The present work tackles this problem using a few-shot metric based meta-learning framework able to compare image regions and determining a similarity measure to decide if there is similarity between the compared patches. Our model is training end-to-end from scratch. Experimental results
have shown that the proposed approach effectively estimates the similarity of the patches and, comparing it with the state of the art approaches, shows better results. |
| 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 |
gtsi @ user @ |
Serial |
115 |
| Permanent link to this record |
| |
|
| |
| Author |
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
| Title |
Cross-spectral image dehaze through a dense stacked conditional GAN based approach. |
Type |
Conference Article |
| Year |
2018 |
Publication |
14th IEEE International Conference on Signal Image Technology & Internet based Systems (SITIS 2018) |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
358-364 |
| Keywords |
|
| Abstract |
This paper proposes a novel approach to remove haze from RGB images using a near infrared images based on a dense stacked conditional Generative Adversarial Network (CGAN). The architecture of the deep network implemented receives, besides the images with haze, its corresponding image in the near infrared spectrum, which serve to accelerate the learning process of the details of the characteristics of the images. The model uses a triplet layer that allows the independence learning of each channel of the visible spectrum image to remove the haze on each color channel separately. A multiple loss function scheme is proposed, which ensures balanced learning between the colors and the structure of the images. Experimental results have shown that the proposed method effectively removes the haze from the images. Additionally, the proposed approach is compared with a state of the art approach showing better results. |
| 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 |
gtsi @ user @ |
Serial |
92 |
| Permanent link to this record |
