Zobrazeno 1 - 10
of 38
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
Publikováno v:
Forests, Vol 12, Iss 4, 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,
Externí odkaz:
https://doaj.org/article/20f37db830714473b6c0bd6d0d746fe4
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cff895b0a771d34a9924ff516501276
https://doi.org/10.24294/sf.v5i2.1624
https://doi.org/10.24294/sf.v5i2.1624
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,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba679026a00dead48c3e302ae761d2d8
Publikováno v:
International Journal of Hybrid Information Technology. 10:21-32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84182fd5ec70a0348b31052af8a5a81b
https://doi.org/10.14257/ijhit.2017.10.3.03
https://doi.org/10.14257/ijhit.2017.10.3.03
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08f10f378979d8f4c8d2b689ecaf1be0
https://doi.org/10.1007/s11042-016-4210-8
https://doi.org/10.1007/s11042-016-4210-8
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cec5128c36158ca5eec54b763d147631
https://doi.org/10.1145/3356471.3365228
https://doi.org/10.1145/3356471.3365228
Publikováno v:
Journal of Software Engineering. 9:362-372
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ba108b8d59193de3276a0a32398d105
https://doi.org/10.3923/jse.2015.362.372
https://doi.org/10.3923/jse.2015.362.372