Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Farhad Samadzadegan"'
Autor:
Farhad Samadzadegan, Farzaneh Dadrass Javan, Farnaz Ashtari Mahini, Mehrnaz Gholamshahi, Francesco Nex
Publikováno v:
Drones, Vol 8, Iss 6, p 244 (2024)
Detecting and recognizing distress types on road pavement is crucial for selecting the most appropriate methods to repair, maintain, prevent further damage, and ensure the smooth functioning of daily activities. However, this task presents challenges
Externí odkaz:
https://doaj.org/article/d71646df390e440f98a39a959f30b0f0
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2149 (2024)
Soil organic carbon (SOC) is a crucial factor for soil fertility, directly impacting agricultural yields and ensuring food security. In recent years, remote sensing (RS) technology has been highly recommended as an efficient tool for producing SOC ma
Externí odkaz:
https://doaj.org/article/581c03d714ae4092b494d2e7538af2b4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4437-4454 (2022)
In recent years, there has been a significant increase in the production of high-resolution aerial and satellite imagery. Analyzing and extracting urban features from these images, especially building components, is a significant challenge in photogr
Externí odkaz:
https://doaj.org/article/79a2db26276b445ca674c4389cd2231c
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 117, Iss , Pp 103180- (2023)
Building change detection in high-resolution satellite images plays a special role in urban management and development. Recently, methods for building change detection have been greatly improved by developing deep learning. Although deep learning tec
Externí odkaz:
https://doaj.org/article/35a9ba6ce39b49cda17ee446726affdc
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 113, Iss , Pp 103011- (2022)
Unmanned aerial vehicles (UAVs) outfitted with thermal and visible sensors are already a popular platform in precision agriculture thanks to recent advances in remote sensing. Many researchers have studied integrating data from sensors with different
Externí odkaz:
https://doaj.org/article/209ededc034445c783f87e6eded062a7
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 0, Pp 17-31 (2019)
This paper focused on the necessity of radiometric calibration to distinguish diseased trees in orchards based on aerial multi-spectral images. For this purpose, two study sites were selected where multispectral images were collected using a multirot
Externí odkaz:
https://doaj.org/article/88bd9f3cd17c470b8fa59dea2af116f4
Publikováno v:
Drones, Vol 6, Iss 7, p 160 (2022)
The use of drones in various applications has now increased, and their popularity among the general public has increased. As a result, the possibility of their misuse and their unauthorized intrusion into important places such as airports and power p
Externí odkaz:
https://doaj.org/article/61513557cdff440e97b156d77c8eefb0
Publikováno v:
Aerospace, Vol 9, Iss 1, p 31 (2022)
Drones are becoming increasingly popular not only for recreational purposes but also in a variety of applications in engineering, disaster management, logistics, securing airports, and others. In addition to their useful applications, an alarming con
Externí odkaz:
https://doaj.org/article/06c089110afa4307a01aa39ff465b18b
Publikováno v:
European Journal of Remote Sensing, Vol 50, Iss 1, Pp 222-236 (2017)
One of the most sophisticated recent data fusions in remote sensing has involved the use of LiDAR and hyperspectral data. Feature-level fusion strategy is applied based on extraction of several recent proposed spectral and structural features from hy
Externí odkaz:
https://doaj.org/article/3d16dbef21c140d485bed13cc2fe19d5
Publikováno v:
European Journal of Remote Sensing, Vol 50, Iss 1, Pp 414-427 (2017)
Multi-sensor data fusion has become more and more popular for classification applications. The fusion of multisource remote-sensing data can provide more information about the same observed site results in a superior comprehension of the scene. In th
Externí odkaz:
https://doaj.org/article/a653c3071ec8431292ee15aa016700ca