Isprs - International Society For Photogrammetry And Remote Sensing

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The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Company Details

Employees
14
Address
Nienburger Str. 1, C/o Leibniz University Hannover,institute Of Photogrammetry And Geoinformation,germany
Industry
Space Research And Technology
NAICS
Space Research and Technology
Website
https://www.isprs.org
HQ
Hannover, Lower Saxony
Competitors
Geospatial Council of Australia, ISPRS GSW, CIPA Heritage Documentation Emerging Professionals, International Council on Monuments and Sites (ICOMOS), ISPRS International Journal of Geo-Information, SELPER - Brasil, CIPA Heritage Documentation, ISPRS Students Consortium, IEEE Geoscience and Remote Sensing Society (GRSS), Mohammed Bin Rashid Space Centre.
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News

Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine - ScienceDirect.com

Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine ScienceDirect.com

Deep nested U-structure network with frequency attention for building semantic segmentation - Nature

Deep nested U-structure network with frequency attention for building semantic segmentation Nature

Multiscale Integration of High-Resolution Spaceborne and Drone-Based Imagery for a High-Accuracy Digital Elevation Model Over Tristan da Cunha - Frontiers

Multiscale Integration of High-Resolution Spaceborne and Drone-Based Imagery for a High-Accuracy Digital Elevation Model Over Tristan da Cunha Frontiers

Raster-Based Point Cloud Mapping of Defective Road Marking: Toward Automated Road Inspection via Airborne LiDAR - ASCE Library

Raster-Based Point Cloud Mapping of Defective Road Marking: Toward Automated Road Inspection via Airborne LiDAR ASCE Library

Frederick Doyle Obituary - Falls Church, VA - Dignity Memorial

Frederick Doyle Obituary - Falls Church, VA Dignity Memorial

Remote sensing methods for power line corridor surveys - ScienceDirect.com

Remote sensing methods for power line corridor surveys ScienceDirect.com

AERIAL POINT CLOUD CLASSIFICATION WITH DEEP LEARNING AND MACHINE LEARNING ALGORITHMS - researchgate.net

AERIAL POINT CLOUD CLASSIFICATION WITH DEEP LEARNING AND MACHINE LEARNING ALGORITHMS researchgate.net

An improved semantic segmentation algorithm for high-resolution remote sensing images based on DeepLabv3+ - Nature

An improved semantic segmentation algorithm for high-resolution remote sensing images based on DeepLabv3+ Nature

Smart Cities and 3D GeoInfo set for Sydney - Spatial Source

Smart Cities and 3D GeoInfo set for Sydney Spatial Source

Deep learning for multi-modal classification of cloud, shadow and land cover scenes in PlanetScope and Sentinel-2 imagery - ScienceDirect.com

Deep learning for multi-modal classification of cloud, shadow and land cover scenes in PlanetScope and Sentinel-2 imagery ScienceDirect.com

A systematic review and meta-analysis of Digital elevation model (DEM) fusion: pre-processing, methods and applications - ScienceDirect.com

A systematic review and meta-analysis of Digital elevation model (DEM) fusion: pre-processing, methods and applications ScienceDirect.com

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform - ScienceDirect.com

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform ScienceDirect.com

Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion - ScienceDirect.com

Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion ScienceDirect.com

Semantic classification of urban buildings combining VHR image and GIS data: An improved random forest approach - ScienceDirect.com

Semantic classification of urban buildings combining VHR image and GIS data: An improved random forest approach ScienceDirect.com

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