Zobrazeno 1 - 10
of 2 847
pro vyhledávání: '"Object Based Image Analysis"'
Publikováno v:
Open Geosciences, Vol 16, Iss 1, Pp 63-104 (2024)
This study aims to develop a comprehensive method for automated rockfall mapping and susceptibility assessment using unmanned aerial vehicle (UAV) tilt photography and the support vector machine (SVM) algorithm. By employing Jinzhong Town in the moun
Externí odkaz:
https://doaj.org/article/26aaf90e1aa14b27b6f8f0afb4e45d7e
Publikováno v:
Geomatics, Vol 4, Iss 2, Pp 149-172 (2024)
Image segmentation plays an important role in object-based classification. An optimal image segmentation should result in objects being internally homogeneous and, at the same time, distinct from one another. Strategies that assess the quality of ima
Externí odkaz:
https://doaj.org/article/06de58dbaf554b748fb57006cd021952
Autor:
Chanida Suwanprasit, Shahnawaz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Monitoring burned areas in Thailand and other tropical countries during the post-harvest season is becoming increasingly important. High-resolution remote sensing data from Sentinel-2 satellites, which have a short revisit time, is ideal for
Externí odkaz:
https://doaj.org/article/c467c0a6ba6d4bdf8f1f34827381c59b
Autor:
Dung Trung Ngo
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35159- (2024)
Wetlands provide resources, regulate the environment, and stabilize shorelines; however, they are among the most vulnerable ecosystems in the world. The classification of mangrove species allows the determination of the habitat of each species, there
Externí odkaz:
https://doaj.org/article/4c557fd055cc4fa7846815b6ba01fe01
Autor:
Yuwen Pang, Aleksi Räsänen, Franziska Wolff, Teemu Tahvanainen, Milja Männikkö, Mika Aurela, Pasi Korpelainen, Timo Kumpula, Tarmo Virtanen
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104043- (2024)
Northern peatland vegetation exhibits fine-scale spatial and spectral heterogeneity that can potentially be captured with uncrewed aerial vehicle (UAV) data due to their ultra-high spatial resolution (
Externí odkaz:
https://doaj.org/article/795f944dc3654e22aa5940a3481b9034
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16932-16943 (2024)
Riparian habitats are the most crucial yet the most fragile ecosystems, focal to safeguarding both the aquatic and terrestrial regions. Technology such as remote sensing, now powered by cloud-based server-side processing of high-resolution satellite
Externí odkaz:
https://doaj.org/article/9d9d7f03cb6a485d9c25f91689a22d3f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15989-16004 (2024)
An understanding of the spatial distribution of informal settlements within a city is important for urban management decision-making and service infrastructure provision, provides useful information for planners and policymakers, and has a role in mi
Externí odkaz:
https://doaj.org/article/4622d2126e834594a410eb6f1b6c8550
Publikováno v:
IEEE Access, Vol 12, Pp 67910-67923 (2024)
Road extraction plays a crucial role in various sectors, including transportation systems, disaster relief distribution, and urban planning, necessitating a more efficient method than the current labor-intensive approach. The conventional process, re
Externí odkaz:
https://doaj.org/article/6adb71189d6649c59bc6dc7342e904a7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6721-6738 (2024)
Segmentation is crucial in geographic object-based image analysis for accurate land use and land cover mapping. However, obtaining outstanding segmentation results in all scenarios proves challenging with a single algorithm. This study investigates s
Externí odkaz:
https://doaj.org/article/23e651abb8854903abce357bd487c2a9