Skip to content
Open access

The advantage of reflectance measurements in radiometric adjustment of aerial imagery

Jul 2026 · The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences · 0 citations · 8 references

Abstract

Abstract. The radiometric adjustment of aerial imagery is a process of very high importance considering the influences this step can generate not only on the look of the image data (white balance), but even more importantly on derived information like indices (NDVI). In comparison to the Aerial Triangulation where it is relatively straight forward to set up thresholds that need to be met in order to achieve a high-quality result, the world of radiometric adjustment is dramatically different. There is no single standard or guideline that dictates what a high-quality radiometric result will look like. Apart from these challenges there is also a rather big gap between the rich and longstanding academic work done in the field of radiometry and actual application in real-life projects. The biggest discrepancy is the usage of single images, especially when dealing with absolute radiometry approaches versus multiple thousand color balanced images in a single block in an actual production environment. In this paper, we present the advantages of utilizing reflectance measurements as a method to stabilize radiometric adjustments, as well as utilizing them as anchor to create indices like the NDVI that correspond to the value range given by literature.

Read PDF

Similar papers

Review Open access Jul 2026

Bundle-Adjusted Initialization for Efficient Earth Observation Gaussian Splatting

Abstract. Satellite imagery offers a distinct advantage in Earth observation by providing expansive coverage and enabling the monitoring of inaccessible regions without physical on-site intervention, serving as a significantly more cost-effective and scalable alternative to traditional aerial or ground-based surveys. T...

Jiyong Kim, Shuang Song, Rongjun Qin · 0 citations
Open access Jul 2026

Radiometric Intercalibration Methodologies for High-Resolution Satellite Imagery in Precision Agriculture

Abstract. This paper examines how to align PlanetScope and Sentinel-2 vegetation indices, focusing on the Normalized Difference Red Edge (NDRE) index, which is commonly used in precision agriculture for prescription maps. While Sentinel-2 is popular for crop monitoring, its low spatial resolution limits use in small or...

Christian Massimiliano Baldin, V. Casella · 0 citations
Open access Jul 2026

Colour Adjustment of Aerial Images from 2000–3000 m Altitude: Empirical Normalisation using Large Ground Colour Targets

Abstract. High-altitude aerial image national mosaics often exhibit visible colour and tone differences caused by atmospheric variability, illumination changes, sensor differences and post-processing workflows. These radiometric inconsistencies negatively influence both visual quality and the comparability of image dat...

Ivar Oveland, S. L. Le Moan · 0 citations
Open access Jul 2026

Aerial image quality control - spatial resolution

Abstract. Standardized methods for assessing the spatial resolution of airborne photogrammetric systems are essential for ensuring consistent quality in aerial imaging. This study evaluates the use of Siemens stars for empirical estimation of Ground Resolving Distance (GRD) in high-altitude aerial photo missions, based...

Ivar Oveland, Andreas Prebensen Korsnes, E. Honkavaara et al. · 0 citations
Review Open access Jul 2026

Assessment of Radial Distortion Parameter Variability in Airborne Photogrammetry: Implications for Atmospheric Refraction

Abstract. The Valpelline Valley, located in the northern Aosta Valley (Italy) along the Swiss border, is a typical Alpine valley shaped by glacial and fluvial processes. Characterized by a large altitudinal range (900-4000 m a.s.l.) and hosting glaciers feeding the Place Moulin reservoir, the area plays a key role in r...

M. Macelloni, N. Grasso, A. Cina · 0 citations
Conference Open access Jul 2026

Differential Analysis of Multispectral Images for Terrain Identification

DRIFT, a lightweight multispectral framework that combines raw spectral bands and illumination-tolerant band-ratio representations through a dual-stream residual architecture and a differential fusion branch, consistently improves over strong baselines, while remaining compatible with edge deployment.

Omar Kashmar, Hmeandra Arya, Fulvio Mastrogiovanni · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.