Results 51 to 60 of about 353,115 (201)
Performance Evaluation of Cluster Validity Indices (CVIs) on Multi/Hyperspectral Remote Sensing Datasets [PDF]
, 2016 The number of clusters (i.e., the number of classes) for unsupervised classification has been recognized as an important part of remote sensing image clustering analysis.
Dale, Patricia +4 more
core +3 more sources
Investigation on Dimensionality Reduction methods for Tree-Crown Segmentation in Hyperspectral imagery using Segment Anything Model [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesForests play a vital role in global ecosystems, and accurate monitoring of tree crowns is essential for forest management and biodiversity conservation.
R. Ravindran, Y. Treitz, D. Iwaszczuk
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingUrban trees are crucial to mitigate the increasing urban temperatures caused by climate change. Tree inventories, which are useful for urban planning and tree management, are mostly based on expensive and incomplete in situ measurements. Freely available
Oliver Schutte +2 more
doaj +1 more source
Land, 2022 Urban planning is a challenge, especially when it comes to limiting land take. In former industrial regions such as Wallonia, the presence of a large number of brownfields, here called “redevelopment sites”, opens up new opportunities for sustainable ...
Sophie Petit +5 more
doaj +1 more source
A Framework for SAR-Optical Stereogrammetry over Urban Areas [PDF]
, 2018 Currently, numerous remote sensing satellites provide a huge volume of diverse earth observation data. As these data show different features regarding resolution, accuracy, coverage, and spectral imaging ability, fusion techniques are required to ...
Bagheri, Hossein +3 more
core +2 more sources
Scientific Data, 2023 Spectral Indices derived from multispectral remote sensing products are extensively used to monitor Earth system dynamics (e.g. vegetation dynamics, water bodies, fire regimes).
David Montero +5 more
doaj +1 more source
Iterative Random Training Sampling Spectral Spatial Classification for Hyperspectral Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Hyperspectral image classification (HSIC) has generated considerable interests over the past years. However, one of challenging issues arising in HSIC is inconsistent classification, which is mainly caused by random training sampling (RTS) of selecting ...
Chein-I Chang +5 more
doaj +1 more source
UCalMiCeL – UNIFIED INTRINSIC AND EXTRINSIC CALIBRATION OF A MULTI-CAMERA-SYSTEM AND A LASERSCANNER [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Unmanned Aerial Vehicle (UAV) with adequate sensors enable new applications in the scope between expensive, large-scale, aircraftcarried remote sensing and time-consuming, small-scale, terrestrial surveyings.
M. Hillemann, M. Hillemann, B. Jutzi
doaj +1 more source
, 2017 Sustainability of the global environment is dependent on the accurate land cover information over large areas. Even with the increased number of satellite systems and sensors acquiring data with improved spectral, spatial, radiometric and temporal ...
Liu, Xiuwen +2 more
core +1 more source
Technique for validating remote sensing products of water quality [PDF]
, 2008 Remote sensing of water quality is initiated as an additional part of the on going activities of the EAGLE2006 project. Within this context intensive in-situ and airborne measurements campaigns were carried out over the Wolderwijd and Veluwemeer ...
Abouali, M. +6 more
core