# IEEE Geoscience and Remote Sensing Magazine

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/ieee-geoscience-and-remote-sensing-magazine/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 2168-6831 |
| ISSNs | 2168-6831,2373-7468,2473-2397 |
| OpenAlex ID | https://openalex.org/S2491948244 |
| Publisher | Institute of Electrical and Electronics Engineers |

## Journal papers

- [Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art](https://scholariq.org/papers/advances-in-hyperspectral-image-and-signal-processing-a-comprehensive-overview/)
- [Advanced Spectral Classifiers for Hyperspectral Images: A review](https://scholariq.org/papers/advanced-spectral-classifiers-for-hyperspectral-images-a-review/)
- [Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art](https://scholariq.org/papers/multisource-and-multitemporal-data-fusion-in-remote-sensing-a-comprehensive/)
- [Development and Application of Ship Detection and Classification Datasets: A review](https://scholariq.org/papers/development-and-application-of-ship-detection-and-classification-datasets-a/)
- [A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, strategies, and challenges](https://scholariq.org/papers/a-survey-of-sample-efficient-deep-learning-for-change-detection-in-remote/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.