Search Results - "ISPRS journal of photogrammetry and remote sensing"

Deep learning in remote sensing applications: A meta-analysis and review by Ma, Lei, Liu, Yu, Zhang, Xueliang, Ye, Yuanxin, Yin, Gaofei, Johnson, Brian Alan

“…Deep learning (DL) algorithms have seen a massive rise in popularity for remote-sensing image analysis over the past few years. In this study, the major DL…”
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Random forest in remote sensing: A review of applications and future directions by Belgiu, Mariana, Drăguţ, Lucian

“…A random forest (RF) classifier is an ensemble classifier that produces multiple decision trees, using a randomly selected subset of training samples and…”
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Remote sensing platforms and sensors: A survey by Toth, Charles, Jóźków, Grzegorz

“…The objective of this article is to review the state-of-the-art remote sensing technologies, including platforms and sensors, the topics representing the…”
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Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine by Maimaitijiang, Maitiniyazi, Ghulam, Abduwasit, Sidike, Paheding, Hartling, Sean, Maimaitiyiming, Matthew, Peterson, Kyle, Shavers, Ethan, Fishman, Jack, Peterson, Jim, Kadam, Suhas, Burken, Joel, Fritschi, Felix

“…Estimating crop biophysical and biochemical parameters with high accuracy at low-cost is imperative for high-throughput phenotyping in precision agriculture…”
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MugNet: Deep learning for hyperspectral image classification using limited samples by Pan, Bin, Shi, Zhenwei, Xu, Xia

“…In recent years, deep learning based methods have attracted broad attention in the field of hyperspectral image classification. However, due to the massive…”
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Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series by Zhu, Xiaolin, Liu, Desheng

“…Spatially explicit knowledge of aboveground biomass (AGB) in large areas is important for accurate carbon accounting. Landsat data have been widely used to…”
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Refined shape model fitting methods for detecting various types of phenological information on major U.S. crops by Sakamoto, Toshihiro

“…Crop phenological information is a critical variable in evaluating the influence of environmental stress on the final crop yield in spatio-temporal dimensions…”
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Mapping dead forest cover using a deep convolutional neural network and digital aerial photography by Sylvain, Jean-Daniel, Drolet, Guillaume, Brown, Nicolas

“…Tree mortality is an important forest ecosystem variable having uses in many applications such as forest health assessment, modelling stand dynamics and…”
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Improved wide-angle, fisheye and omnidirectional camera calibration by Urban, Steffen, Leitloff, Jens, Hinz, Stefan

“…In this paper an improved method for calibrating wide-angle, fisheye and omnidirectional imaging systems is presented. We extend the calibration procedure…”
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Relevance assessment of full-waveform lidar data for urban area classification by Mallet, Clément, Bretar, Frédéric, Roux, Michel, Soergel, Uwe, Heipke, Christian

“…Full-waveform lidar data are increasingly being available. Morphological features can be retrieved from the echoes composing the waveforms, and are now…”
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Addressing overfitting on point cloud classification using Atrous XCRF by Arief, Hasan Asy’ari, Indahl, Ulf Geir, Strand, Geir-Harald, Tveite, Håvard

“…Advances in techniques for automated classification of point cloud data introduce great opportunities for many new and existing applications. However, with a…”
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A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series by Deijns, Axel A.J., Michéa, David, Déprez, Aline, Malet, Jean-Philippe, Kervyn, François, Thiery, Wim, Dewitte, Olivier

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Forest variable estimation using a high-resolution digital surface model by Järnstedt, J., Pekkarinen, A., Tuominen, S., Ginzler, C., Holopainen, M., Viitala, R.

“…Airborne laser scanning is today considered the most accurate remote sensing method for forest inventory. The main advantage of laser scanning is the…”
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Classifier ensembles for land cover mapping using multitemporal SAR imagery by Waske, Björn, Braun, Matthias

“…SAR data are almost independent from weather conditions, and thus are well suited for mapping of seasonally changing variables such as land cover. In regard to…”
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Mapping slope movements in Alpine environments using TerraSAR-X interferometric methods by Barboux, Chloé, Strozzi, Tazio, Delaloye, Reynald, Wegmüller, Urs, Collet, Claude

“…Detection and mapping of slope movements of various velocity rates encountered in Alpine environments using Differential SAR Interferograms (DInSAR),…”
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Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards by Tralli, David M., Blom, Ronald G., Zlotnicki, Victor, Donnellan, Andrea, Evans, Diane L.

“…Satellite remote sensing is providing a systematic, synoptic framework for advancing scientific knowledge of the Earth as a complex system of geophysical…”
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Development of post-fire vegetation response-ability model in grassland mountainous ecosystem using GIS and remote sensing by Adagbasa, Efosa. G., Adelabu, Samuel. A., Okello, Tom. W.

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Development of a mixed pixel filter for improved dimension estimation using AMCW laser scanner by Wang, Qian, Sohn, Hoon, Cheng, Jack C.P.

“…Accurate dimension estimation is desired in many fields, but the traditional dimension estimation methods are time-consuming and labor-intensive. In the recent…”
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Prediction of sweetness and amino acid content in soybean crops from hyperspectral imagery by Monteiro, Sildomar Takahashi, Minekawa, Yohei, Kosugi, Yukio, Akazawa, Tsuneya, Oda, Kunio

“…Hyperspectral image data provides a powerful tool for non-destructive crop analysis. This paper investigates a hyperspectral image data-processing method to…”
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A hybrid measurement approach for close-range photogrammetry by Fraser, Clive S., Cronk, Simon

“…Full automation in close-range photogrammetric measurement has long been a practical reality. However, constraints apply to the process such that automated 3D…”
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