# Synthetic Aperture Radar (SAR) Applications and Techniques

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/synthetic-aperture-radar-sar-applications-and-techniques/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on Synthetic Aperture Radar (SAR) interferometry, including topics such as surface deformation monitoring, persistent scatterers, digital elevation models, land subsidence, polarimetric SAR, forest biomass estimation, urban development monitoring, and groundwater extraction. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t10801 |
| Works | 21 |

## Topic papers all

Showing 15 of 21.

- [A Keystone Transform Without Interpolation for SAR Ground Moving-Target Imaging](https://scholariq.org/papers/a-keystone-transform-without-interpolation-for-sar-ground-moving-target-imaging/)
- [Compact polarimetry overview and applications assessment](https://scholariq.org/papers/compact-polarimetry-overview-and-applications-assessment/)
- [RADARSAT-2 Polarimetric SAR Response to Crop Biomass for Agricultural Production Monitoring](https://scholariq.org/papers/radarsat-2-polarimetric-sar-response-to-crop-biomass-for-agricultural-production/)
- [The Contribution of ALOS PALSAR Multipolarization and Polarimetric Data to Crop Classification](https://scholariq.org/papers/the-contribution-of-alos-palsar-multipolarization-and-polarimetric-data-to-crop/)
- [Object-oriented crop mapping and monitoring using multi-temporal polarimetric RADARSAT-2 data](https://scholariq.org/papers/object-oriented-crop-mapping-and-monitoring-using-multi-temporal-polarimetric/)
- [Mapping tropical forests and deciduous rubber plantations in Hainan Island, China by integrating PALSAR 25-m and multi-temporal Landsat images](https://scholariq.org/papers/mapping-tropical-forests-and-deciduous-rubber-plantations-in-hainan-island-china/)
- [Measures for an Objective Evaluation of the Geometric Correction Process Quality](https://scholariq.org/papers/measures-for-an-objective-evaluation-of-the-geometric-correction-process-quality/)
- [N-YOLO: A SAR Ship Detection Using Noise-Classifying and Complete-Target Extraction](https://scholariq.org/papers/n-yolo-a-sar-ship-detection-using-noise-classifying-and-complete-target/)
- [Multi-Aspect-Aware Bidirectional LSTM Networks for Synthetic Aperture Radar Target Recognition](https://scholariq.org/papers/multi-aspect-aware-bidirectional-lstm-networks-for-synthetic-aperture-radar/)
- [Local Window Attention Transformer for Polarimetric SAR Image Classification](https://scholariq.org/papers/local-window-attention-transformer-for-polarimetric-sar-image-classification/)
- [PolSAR Image Classification Based on Deep Convolutional Neural Networks Using Wavelet Transformation](https://scholariq.org/papers/polsar-image-classification-based-on-deep-convolutional-neural-networks-using/)
- [DeepInSAR—A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation](https://scholariq.org/papers/deepinsar-a-deep-learning-framework-for-sar-interferometric-phase-restoration/)
- [Mapping Forest and Their Spatial–Temporal Changes From 2007 to 2015 in Tropical Hainan Island by Integrating ALOS/ALOS-2 L-Band SAR and Landsat Optical Images](https://scholariq.org/papers/mapping-forest-and-their-spatial-temporal-changes-from-2007-to-2015-in-tropical/)
- [An Unsupervised Generative Neural Approach for InSAR Phase Filtering and Coherence Estimation](https://scholariq.org/papers/an-unsupervised-generative-neural-approach-for-insar-phase-filtering-and/)
- [Analysis of Ship Detection Performance with Full-, Compact- and Dual-Polarimetric SAR](https://scholariq.org/papers/analysis-of-ship-detection-performance-with-full-compact-and-dual-polarimetric/)

## Topic primary papers

- [Compact polarimetry overview and applications assessment](https://scholariq.org/papers/compact-polarimetry-overview-and-applications-assessment/)
- [RADARSAT-2 Polarimetric SAR Response to Crop Biomass for Agricultural Production Monitoring](https://scholariq.org/papers/radarsat-2-polarimetric-sar-response-to-crop-biomass-for-agricultural-production/)
- [The Contribution of ALOS PALSAR Multipolarization and Polarimetric Data to Crop Classification](https://scholariq.org/papers/the-contribution-of-alos-palsar-multipolarization-and-polarimetric-data-to-crop/)
- [Object-oriented crop mapping and monitoring using multi-temporal polarimetric RADARSAT-2 data](https://scholariq.org/papers/object-oriented-crop-mapping-and-monitoring-using-multi-temporal-polarimetric/)
- [Local Window Attention Transformer for Polarimetric SAR Image Classification](https://scholariq.org/papers/local-window-attention-transformer-for-polarimetric-sar-image-classification/)
- [PolSAR Image Classification Based on Deep Convolutional Neural Networks Using Wavelet Transformation](https://scholariq.org/papers/polsar-image-classification-based-on-deep-convolutional-neural-networks-using/)
- [DeepInSAR—A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation](https://scholariq.org/papers/deepinsar-a-deep-learning-framework-for-sar-interferometric-phase-restoration/)
- [An Unsupervised Generative Neural Approach for InSAR Phase Filtering and Coherence Estimation](https://scholariq.org/papers/an-unsupervised-generative-neural-approach-for-insar-phase-filtering-and/)
- [Analysis of Ship Detection Performance with Full-, Compact- and Dual-Polarimetric SAR](https://scholariq.org/papers/analysis-of-ship-detection-performance-with-full-compact-and-dual-polarimetric/)
- [A U-Net Approach for InSAR Phase Unwrapping and Denoising](https://scholariq.org/papers/a-u-net-approach-for-insar-phase-unwrapping-and-denoising/)
- [Ship Detection Using PolSAR Images Based on Simulated Annealing by Fuzzy Matching](https://scholariq.org/papers/ship-detection-using-polsar-images-based-on-simulated-annealing-by-fuzzy/)
- [Accurate Pixel-Based Noise Estimation for InSAR Interferograms](https://scholariq.org/papers/accurate-pixel-based-noise-estimation-for-insar-interferograms/)
- [FAPNET: Feature Fusion with Adaptive Patch for Flood-Water Detection and Monitoring](https://scholariq.org/papers/fapnet-feature-fusion-with-adaptive-patch-for-flood-water-detection-and/)
- [Docked Ships Detection Using PolSAR Image Based on GOPSO-SVM](https://scholariq.org/papers/docked-ships-detection-using-polsar-image-based-on-gopso-svm/)
- [A Review of Different Methods of Phase Measurement and its Suitable Applications](https://scholariq.org/papers/a-review-of-different-methods-of-phase-measurement-and-its-suitable-applications/)

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