Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Masoud Babadi"'
Autor:
Temitope Seun Oluwadare, Dongmei Chen, Olawale Oluwafemi, Masoud Babadi, Mohammad Hossain, Oluwaseun Ibukun
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2352 (2024)
Sentinel-2 satellites are one of the major instruments in remote sensing (RS) technology that has revolutionized Earth observation research, as its main goal is to offer high-resolution satellite data for dynamic monitoring of Earth’s surface and c
Externí odkaz:
https://doaj.org/article/49b6fb9cea684cdb9cba456a850a2189
Publikováno v:
Journal of Geodetic Science, 13(1)
Gravity recovery and climate experiment (GRACE) and GRACE Follow-On (GRACE-FO) are Earth’s gravity satellite missions with hydrological monitoring applications. However, caused by measuring instrumental problems, there are several temporal missing
Autor:
Masoud Babadi, Pouyan Boresh-Navard, Saeed Nadi, Mohammad Moein Sheikholeslami, Mohammad Samiei, Vahid Sadeghi
Publikováno v:
International Journal of Remote Sensing. 42:6725-6745
Global digital elevation models (GDEMs) are one of the most important sources of elevation data. Like other spatial datasets, GDEMs are inevitably affected by various types of errors in both vertic...
Publikováno v:
Journal of Applied Remote Sensing, 16(1)
Drought is one of the most complex and threatening disasters, defined as a period of drier-than-normal conditions which results in water-related problems. In addition to climate variation, human activities can cause or intensify drought through groun
Autor:
Masoud Babadi, Sayyed Bagher Fatemi, Saeid Homayouni, Amin Alizadeh Naeini, Sayyed Mohammad Javad Mirzadeh
Publikováno v:
Geocarto International. 35:1311-1326
Generation of precise digital elevation models (DEMs) from stereo satellite images by using rational polynomial coefficients (RPCs) usually needs several ground control points (GCPs). This is mainl...
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 15:379-383
With the advent of very high spatial resolution (VHSR) satellite imagery, object-based classification (OBC) has attracted a great deal of attention in the remote sensing community. However, due to the numerous spectral, textural, and structural featu
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W4, Pp 27-30 (2017)
Partitioning clustering algorithms, such as k-means, is the most widely used clustering algorithms in the remote sensing community. They are the process of identifying clusters within multidimensional data based on some similarity measures (SM). SMs
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 147-152 (2019)
Precise measurements of forest trees is very important in environmental protection. Measuring trees parameters by use of ground- based inventories is time and cost consuming. Employing advanced remote sensing techniques to obtain forest parameters ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00a5d11b3f3d139bdc585a83d0d81465
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W18/147/2019/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W18/147/2019/
Publikováno v:
Journal of Applied Remote Sensing. 12:1
Shadow is an important concern in aerial and satellite remotely sensed imagery. Consequently, shadow detection is important for many image processing and analysis operations. Among shadow detection methods, there exist methods that apply a single thr