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ISPRS annals of the photogrammetry, remote sensing and spatial information sciences is a peer-reviewed journal published by Copernicus Publications, covering Remote Sensing and LiDAR Applications, 3D Surveying and Cultural Heritage, Remote Sensing in Agriculture.
| Publisher | Copernicus Publications |
|---|---|
| Reference style | Author–year (Copernicus) Author–year — (Smith, 2023) in the text Smith, A., Jones, B., and Lee, C.: A representative article title, ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, 12, 45–58, 2023.
Formats any DOI in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences style. No sign-up. |
| Publishes research in | Remote Sensing and LiDAR Applications 3D Surveying and Cultural Heritage Remote Sensing in Agriculture Robotics and Sensor-Based Localization Remote-Sensing Image Classification |
| ISSN | 2194-9042 |
| Citation impact (2-yr) | 0.57 |
| h-index | 62 |
| i10-index | 967 |
| Total citations | 36,568 |
| Open access | Yes |
| Top institutions publishing here | Wuhan University |
| Journal website | www.isprs.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract. The Japan Aerospace Exploration Agency (JAXA) generated the global digital elevation/surface model (DEM/DSM) and orthorectified image (ORI) using the archived data of the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) onboard the Advanced Land Observing Satellite (ALOS, nicknamed "Daichi"), which was operated from 2006 to 2011. PRISM consisted of three panchromatic radiometers that acquired…
Abstract. For more than two decades, many efforts have been made to develop methods for extracting urban objects from data acquired by airborne sensors. In order to make the results of such algorithms more comparable, benchmarking data sets are of paramount importance. Such a data set, consisting of airborne image and laserscanner data, has been…
Abstract. driving. While much progress has been made in recent years, imaging conditions in natural outdoor environments are still very challenging for current reconstruction and recognition methods. In this paper, we propose a novel unified approach which reasons jointly about 3D scene flow as well as the pose, shape and motion of vehicles in the…
Abstract. Soil moisture was recently included in the list of Essential Climate Variables (ECVs) that are deemed essential for IPCC (Intergovernmental Panel on Climate Change) and UNFCCC (United Nations Framework Convention on Climate Change) needs and considered feasible for global observation. ECVs data records should be as long, complete and consistent as possible, and in…
Abstract. While deep learning techniques have an increasing impact on many technical fields, gathering sufficient amounts of training data is a challenging problem in remote sensing. In particular, this holds for applications involving data from multiple sensors with heterogeneous characteristics. One example for that is the fusion of synthetic aperture radar (SAR) data and optical…
