Zobrazeno 1 - 10
of 417
pro vyhledávání: '"Aerial imaging"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with the human abilit
Externí odkaz:
https://doaj.org/article/b2f26ddb6f794f1cbd0ccae8182262d6
Publikováno v:
Journal of Mechanics of Continua and Mathematical Sciences, Vol 19, Iss 9, Pp 48-65 (2024)
The goal of this study is to give headways in aeronautical article ID that will help with making recognitions that are both more exact and more precise. Specifically, we revamp the meaning of the article recognition anchor enclose request to remember
Externí odkaz:
https://doaj.org/article/e094ffa8821844dcbd685844578621fe
Autor:
Rowan L. Converse, Christopher D. Lippitt, Mark D. Koneff, Timothy P. White, Benjamin G. Weinstein, Richard Gibbons, David R. Stewart, Abram B. Fleishman, Matthew J. Butler, Steven E. Sesnie, Grant M. Harris
Publikováno v:
Frontiers in Conservation Science, Vol 5 (2024)
Technological and methodological advances in remote sensing and machine learning have created new opportunities for advancing wildlife surveys. We assembled a Community of Practice (CoP) to capitalize on these developments to explore improvements to
Externí odkaz:
https://doaj.org/article/1ad74aae17dc4aed824c5f2711943d89
Publikováno v:
IEEE Access, Vol 12, Pp 31107-31116 (2024)
There are plenty of high- and low-altitude earth observation satellites asynchronously capture massive-scale aerial images everyday. In practice, high-altitude satellites take low-resolution (LR) aerial pictures, each covers a considerably large area
Externí odkaz:
https://doaj.org/article/9e6fe2cc6e67490d8a2df294533fdd81
Autor:
Mohamed Youssef, Oliver Bimber
Publikováno v:
Remote Sensing, Vol 16, Iss 4, p 673 (2024)
An adequate fusion of the most significant salient information from multiple input channels is essential for many aerial imaging tasks. While multispectral recordings reveal features in various spectral ranges, synthetic aperture sensing makes occlud
Externí odkaz:
https://doaj.org/article/dda09fd70a7d4f30adffed59c42c50b9
Autor:
Muhammad Nurfaiz Abd. Kharim, Aimrun Wayayok, Ahmad Fikri Abdullah, Abdul Rashid Mohamed Shariff, Ezrin Mohd Husin, Muhammad Razif Mahadi
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 25, Iss 3, Pp 831-840 (2022)
Bacterial leaf blight (BLB), bacterial panicle blight (BPB), and stem borer (SB) are serious infestations to the rice crop. Detection is the first essential step for effective management. The objective of the study is to provide a fast and accurate t
Externí odkaz:
https://doaj.org/article/a12806456979483bb7710e5f3913543d
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 8, Pp 6023-6041 (2022)
With the growing demand for geospatial data, challenging aerial images with high spatial, spectral, and temporal resolution achieve excellent development. Currently, deep Convolutional Neural Network (CNN) structures are applied widely for object det
Externí odkaz:
https://doaj.org/article/852c4868bd1144699dc17e4db06d0ad0
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 414 (2024)
Segmentation of Agricultural Remote Sensing Images (ARSIs) stands as a pivotal component within the intelligent development path of agricultural information technology. Similarly, quick and effective delineation of urban green spaces (UGSs) in high-r
Externí odkaz:
https://doaj.org/article/1645c4adc175401381771d44086dbc32
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