1,401 results on '"Jocelyn Chanussot"'
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302. A Study on Full Scale Injection Coefficients for Pansharpening.
303. Feature-Level Loss for Multispectral Pan-Sharpening with Machine Learning.
304. Evaluation of Hyperspectral Classification Maps in Heterogeneous Ecosystem.
305. GPU Parallel Implementation of Gas Plume Detection in Hyperspectral Video Sequences.
306. Extended Linear Mixing Model in an Ecosytem with High Spectral Variability.
307. SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers.
308. An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery.
309. Unsupervised Outlier Detection using Memory and Contrastive Learning.
310. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model.
311. Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization.
312. Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing.
313. Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network.
314. Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing.
315. A Triple-Double Convolutional Neural Network for Panchromatic Sharpening.
316. Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images.
317. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing.
318. Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery.
319. Multimodal hyperspectral remote sensing: an overview and perspective.
320. A Combiner-Based Full Resolution Quality Assessment Index for Pansharpening.
321. Snow Cover Estimation From Image Time Series Based on Spectral Unmixing.
322. Pansharpening via Detail Injection Based Convolutional Neural Networks.
323. Superresolution Land Cover Mapping Based on Pixel-, Subpixel-, and Superpixel-Scale Spatial Dependence With Pansharpening Technique.
324. HyperPNN: Hyperspectral Pansharpening via Spectrally Predictive Convolutional Neural Networks.
325. Soft-Then-Hard Super-Resolution Mapping Based on Pansharpening Technique for Remote Sensing Image.
326. Braids of partitions for the hierarchical representation and segmentation of multimodal images.
327. An Improved Stationarity Test Based on Surrogates.
328. Assessment of Hyperspectral Sharpening Methods for the Monitoring of Natural Areas Using Multiplatform Remote Sensing Imagery.
329. Pansharpening Based on Deconvolution for Multiband Filter Estimation.
330. CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences.
331. Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification.
332. Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability.
333. ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features.
334. Scene Classification With Recurrent Attention of VHR Remote Sensing Images.
335. Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks.
336. StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion.
337. Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background.
338. An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing.
339. Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms.
340. Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution.
341. DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral Imagery
342. Reverse Difference Network for Highlighting Small Objects in Aerial Images.
343. A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification.
344. Deep learning in multimodal remote sensing data fusion: A comprehensive review.
345. Hyperspectral Anomaly Detection Using Deep Learning: A Review.
346. PolSAR Scene Classification via Low-Rank Constrained Multimodal Tensor Representation.
347. Machine Learning Approaches to Automatically Detect Glacier Snow Lines on Multi-Spectral Satellite Images.
348. Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity.
349. Cellular Automata-Based Image Sequence Denoising Algorithm for Signal Dependent Noise.
350. Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression.
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