Zobrazeno 1 - 10
of 535
pro vyhledávání: '"aerial photograph"'
Autor:
Jun Sakamoto
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
Identifying an inundation area after a flood event is essential for planning emergency rescue operations. In this study, we propose a method to automatically determine inundated road segments by floods using image recognition technology, a deep learn
Externí odkaz:
https://doaj.org/article/2ffc5b4134d34c22ad6761b093822c4a
Autor:
Dhufr Hussein Alali, Timur Inan
Publikováno v:
مجلة التربية والعلم, Vol 32, Iss 4, Pp 34-47 (2023)
This research paper proposes a methodology for classifying aerial photographs and lands using deep learning with transfer learning. The study utilizes the Aerial Image Dataset (AID), which contains a diverse set of aerial images with 30 scene classes
Externí odkaz:
https://doaj.org/article/880607fe31eb4a9da2c7a006658a2022
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1495 (2024)
Compared to natural images in artificial datasets, it is more challenging to improve the spatial resolution of remote sensing optical image data using super-resolution techniques. Historical aerial images are primarily grayscale due to single-band ac
Externí odkaz:
https://doaj.org/article/a5898acb8ace4b4ca29003f1701e91cd
Autor:
William R. Koski, Brent G. Young
Publikováno v:
Drone Systems and Applications, Vol 10, Iss 1, Pp 15-25 (2022)
Effective management of animal populations requires knowledge of life history parameters and estimates of population abundance. One method commonly used to estimate abundance is capture–recapture analyses of photographs. Small, relatively inexpensi
Externí odkaz:
https://doaj.org/article/09a6628cc65c48f28b9fb1ce05d65fda
Autor:
Huiling Zhu, Jinlong Zhang, Mang Lung Cheuk, Billy C. H. Hau, Gunter A. Fischer, Stephan W. Gale
Publikováno v:
Frontiers in Forests and Global Change, Vol 6 (2023)
Anthropogenic disturbance has led to widespread clearance and degradation of tropical forests, and tree planting has been promoted as an effective solution for recovery. However, trees have been overwhelmingly planted in monocultures or low-diversity
Externí odkaz:
https://doaj.org/article/462c667e212a42fea4e7784a4ad93471
Autor:
Valeanu, Madalin-Cornel
Publikováno v:
Cercetari Istorice (Serie Noua) / Historical Researches (New Series). (39):371-379
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=921785
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2899-2915 (2020)
Legacy grayscale aerial photographs represent one of the main available sources for studying the past state of the environment and its relationship to the present. However, these photographs lack spectral information thereby hindering their use in cu
Externí odkaz:
https://doaj.org/article/f98700b8185149d78abe89f8be5a1ed4
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 1001 (2023)
The accurate classification of forest types is critical for sustainable forest management. In this study, a novel multiscale global graph convolutional neural network (MSG-GCN) was compared with random forest (RF), U-Net, and U-Net++ models in terms
Externí odkaz:
https://doaj.org/article/5b963fc0b0e745ab90e344979ec01c90