Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Tianzhong Zhao"'
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3466 (2024)
Building change detection (BCD) from remote sensing images is an essential field for urban studies. In this well-developed field, Convolutional Neural Networks (CNNs) and Transformer have been leveraged to empower BCD models in handling multi-scale i
Externí odkaz:
https://doaj.org/article/cf3696d478b74904aa9df540d6d97ab5
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4453 (2022)
The Ice, Cloud, and Land Elevation Satellite–2 (ICESat–2) carries the Advanced Topographic Laser Altimeter System (ATLAS), enabling global canopy height measurements from forest canopy height models (CHMs). Topographic slope is a crucial factor a
Externí odkaz:
https://doaj.org/article/9eae0fb1fd884dcf88720f7cc91f8e38
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 218 (2022)
The new generation of satellite-borne laser radar Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) data has been successfully used for ground information acquisition. However, when dealing with complex terrain and dense vegetation cover, the acc
Externí odkaz:
https://doaj.org/article/4890cc5ed98948efa9dfdb5429358397
Autor:
Haoran Ma, Tianzhong Zhao
Publikováno v:
Sustainable Forestry. 5
Forest ecological benefit compensation plays a promoting role in improving the enthusiasm of forest ecological builders and maintainers, maintaining the legitimate economic interests of forest owners, and coordinating the fairness between the “clea
Publikováno v:
Forests
Volume 12
Issue 4
Forests, Vol 12, Iss 464, p 464 (2021)
Volume 12
Issue 4
Forests, Vol 12, Iss 464, p 464 (2021)
Stem analysis is an essential aspect in forestry investigation and forest management, as it is a primary method to study the growth law of trees. Stem analysis requires measuring the width and number of tree rings to ensure the accurate measurement,
Publikováno v:
International Journal of Hybrid Information Technology. 10:21-32
Publikováno v:
Multimedia Tools and Applications. 76:22999-23015
Feature extraction is an essential task in the classification of high-resolution remote sensing images, with the primary technique being the object-oriented classification method. Current research describes object-oriented classification methods by u
Publikováno v:
GeoAI@SIGSPATIAL
E-taxies (ETs) are facing great challenges such as short driving range, long charging time and sparse charging stations, thus hamper its acceptance by fuel taxi drivers. This study presents a novel spatial-temporal intelligent recommendation system f
Publikováno v:
Journal of Software Engineering. 9:362-372
In recent years, remote sensing technology has been widely used to predict forest stand parameters. In order to compare the effects of different features of remote sensing images and topographic information on the prediction of forest stand parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2fe3bfe757375ca56c3105a18e23da4