Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Minh-Tan Pham"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4980-4989 (2022)
Despite the popularity of deep neural networks in various domains, the extraction of digital terrain models (DTMs) from airborne laser scanning (ALS) point clouds is still challenging. This might be due to the lack of the dedicated large-scale annota
Externí odkaz:
https://doaj.org/article/8eca5ead4b5e40a89e4f6171a8d4705e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2574-2591 (2022)
In this article, we develop a novel feature extraction method that combines two well-established mathematical morphology concepts: watersheds and morphological attribute profiles (APs). In order to extract spatial-spectral features from remote sensin
Externí odkaz:
https://doaj.org/article/2e0bcbf601db4a33820c43afc9c7e181
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3689 (2022)
Vehicle detection is an important but challenging problem in Earth observation due to the intricately small sizes and varied appearances of the objects of interest. In this paper, we use these issues to our advantage by considering them results of la
Externí odkaz:
https://doaj.org/article/450987fe6a9640318fcb96217aa975ae
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3995 (2022)
Deep learning methods have become an integral part of computer vision and machine learning research by providing significant improvement performed in many tasks such as classification, regression, and detection. These gains have been also observed in
Externí odkaz:
https://doaj.org/article/fc7edb7e35164fb8a22b4b4517d53830
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 339 (2022)
Human activities in the sea, such as intensive fishing and exploitation of offshore wind farms, may impact negatively on the marine mega fauna. As an attempt to control such impacts, surveying, and tracking of marine animals are often performed on th
Externí odkaz:
https://doaj.org/article/9eca7e21b6d9490fb1db3ef70a1b2c3b
Publikováno v:
Remote Sensing, Vol 12, Iss 19, p 3152 (2020)
This article tackles the problem of detecting small objects in satellite or aerial remote sensing images by relying on super-resolution to increase image spatial resolution, thus the size and details of objects to be detected. We show how to improve
Externí odkaz:
https://doaj.org/article/2e659e8fea604695a50e1f483d0d67a6
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2501 (2020)
Object detection from aerial and satellite remote sensing images has been an active research topic over the past decade. Thanks to the increase in computational resources and data availability, deep learning-based object detection methods have achiev
Externí odkaz:
https://doaj.org/article/c4cf81378e274e659a0285d3a5b35fa1
Publikováno v:
Journal of Imaging, Vol 3, Iss 4, p 43 (2017)
A novel efficient method for content-based image retrieval (CBIR) is developed in this paper using both texture and color features. Our motivation is to represent and characterize an input image by a set of local descriptors extracted from characteri
Externí odkaz:
https://doaj.org/article/f087cc2e73d14f43ad7e1df46500cd1c
Autor:
Chau Thi Da, Bui Thi Kim Xuyen, Thi Kieu Oanh Nguyen, Van Tai Tang, Pham Thi Thu Ha, Minh Tan Pham, Håkan Berg
Publikováno v:
Animals, Vol 14, Iss 15, p 2203 (2024)
This study evaluates the effect of different diets supplemented with vitamin solutions on Pangasius catfish broodstock reproduction, growth performances, and the survival rates of fish larvae and fingerling. The growth and reproductive performances o
Externí odkaz:
https://doaj.org/article/e1fbe9fbc141407093533db263e27a8c
Publikováno v:
Remote Sensing, Vol 8, Iss 5, p 368 (2016)
In this article, we develop a novel method for the detection of vineyard parcels in agricultural landscapes based on very high resolution (VHR) optical remote sensing images. Our objective is to perform texture-based image retrieval and supervised cl
Externí odkaz:
https://doaj.org/article/9fd99cf84d544f55a2332e001fd1882c