- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
COLLABORATIVE NOISE MAPPING USING SMARTPHONE ; volume:XLIII-B4-2020 ; year:2020 ; pages:253-260
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIII-B4-2020 (2020), 253-260
- Classification
-
Geografie, Reisen
- Creator
-
Dubey, R.
Bharadwaj, S.
Zafar, M. I.
Bhushan Sharma, V.
Biswas, S.
- DOI
-
10.5194/isprs-archives-XLIII-B4-2020-253-2020
- URN
-
urn:nbn:de:101:1-2020082705354788473474
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:00 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dubey, R.
- Bharadwaj, S.
- Zafar, M. I.
- Bhushan Sharma, V.
- Biswas, S.
Other Objects (12)
SMARTPHONE-BASED TRAFFIC NOISE MAPPING SYSTEM
Collaborative Mapping using GeoGit
Video-based Mobile Mapping System Using Smartphones
Noise mapping
Estimating of dose-responce relationship of Shinkansen railway noise using noise mapping
Collaborative Custodianship through Collaborative Cloud Mapping: Challenges and Opportunities
ACHIEVING CENTIMETERS-LEVEL GPS POSITIONING ACCURACY USING A SMARTPHONE FOR MAPPING APPLICATIONS
A New Approach for Road Traffic Noise Mapping Using Big Data
Meta-Modeling for urban noise mapping
Development of a smartphone-based Turkish digits in noise test
IMPLEMENTATION AND FIRST EVALUATION OF AN INDOOR MAPPING APPLICATION USING SMARTPHONES AND AR FRAMEWORKS
Dense collaborative mapping with deep visual SLAM method
SMARTPHONE-BASED TRAFFIC NOISE MAPPING SYSTEM
Collaborative Mapping using GeoGit
Video-based Mobile Mapping System Using Smartphones
Noise mapping
Estimating of dose-responce relationship of Shinkansen railway noise using noise mapping
Collaborative Custodianship through Collaborative Cloud Mapping: Challenges and Opportunities
ACHIEVING CENTIMETERS-LEVEL GPS POSITIONING ACCURACY USING A SMARTPHONE FOR MAPPING APPLICATIONS
A New Approach for Road Traffic Noise Mapping Using Big Data
Meta-Modeling for urban noise mapping
Development of a smartphone-based Turkish digits in noise test
IMPLEMENTATION AND FIRST EVALUATION OF AN INDOOR MAPPING APPLICATION USING SMARTPHONES AND AR FRAMEWORKS
Dense collaborative mapping with deep visual SLAM method
SMARTPHONE-BASED TRAFFIC NOISE MAPPING SYSTEM
Collaborative Mapping using GeoGit
Video-based Mobile Mapping System Using Smartphones
Noise mapping
Estimating of dose-responce relationship of Shinkansen railway noise using noise mapping
Collaborative Custodianship through Collaborative Cloud Mapping: Challenges and Opportunities
ACHIEVING CENTIMETERS-LEVEL GPS POSITIONING ACCURACY USING A SMARTPHONE FOR MAPPING APPLICATIONS
A New Approach for Road Traffic Noise Mapping Using Big Data
Meta-Modeling for urban noise mapping
Development of a smartphone-based Turkish digits in noise test
IMPLEMENTATION AND FIRST EVALUATION OF AN INDOOR MAPPING APPLICATION USING SMARTPHONES AND AR FRAMEWORKS