{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T05:31:55Z","timestamp":1761197515944,"version":"build-2065373602"},"reference-count":73,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2017,12,21]],"date-time":"2017-12-21T00:00:00Z","timestamp":1513814400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In this paper, we investigate the value of different modalities and their combination for the analysis of geospatial data of low spatial resolution. For this purpose, we present a framework that allows for the enrichment of geospatial data with additional semantics based on given color information, hyperspectral information, and shape information. While the different types of information are used to define a variety of features, classification based on these features is performed using a random forest classifier. To draw conclusions about the relevance of different modalities and their combination for scene analysis, we present and discuss results which have been achieved with our framework on the MUUFL Gulfport Hyperspectral and LiDAR Airborne Data Set.<\/jats:p>","DOI":"10.3390\/rs10010002","type":"journal-article","created":{"date-parts":[[2017,12,21]],"date-time":"2017-12-21T12:16:14Z","timestamp":1513858574000},"page":"2","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Geospatial Computer Vision Based on Multi-Modal Data\u2014How Valuable Is Shape Information for the Extraction of Semantic Information?"],"prefix":"10.3390","volume":"10","author":[{"given":"Martin","family":"Weinmann","sequence":"first","affiliation":[{"name":"Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT), Englerstr. 7, D-76131 Karlsruhe, Germany"}]},{"given":"Michael","family":"Weinmann","sequence":"additional","affiliation":[{"name":"Institute of Computer Science II, University of Bonn, Friedrich-Ebert-Allee 144, D-53113 Bonn, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2017,12,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Munoz, D., Bagnell, J.A., Vandapel, N., and Hebert, M. 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