Hyperspectral Data Processing and Analysis Software MAXSPEX STUDIO
MAXSPEX STUDIO is dedicated hyperspectral data-processing and analysis software independently developed by Hangzhou Gaopu. This powerful one-stop platform supports common hyperspectral formats and includes reflectance calibration, water-quality parameter retrieval, vegetation indices, data stitching and geometric correction algorithms, as well as AI analysis such as deep learning.
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Overview
Specifications
| Parameter | Value |
|---|---|
| Basic Functions | Hyperspectral file management, layer management, layer fusion and rendering, layer-data export, false-color display, and display of DN values and spectral curves |
| Data Compilation | Data-format conversion, storage and category management, information annotation and data associations; integrated reading and writing of formats including tif, bil, bsq, bip, GeoTIFF and raw |
| Data Preprocessing | Data-cube cropping and stitching, data flipping and rotation, dark-background subtraction, image denoising, data correction, dimensionality reduction, band calculations and supervised target classification |
| Data Correction | Uniformity correction, SG smoothing, MSC correction, SNV transformation and related methods |
| Image Stitching Correction | Orthophoto stitching, hyperspectral image stitching, geometric correction and related functions |
| Ambient Light Correction | Corrects UAV-mounted hyperspectral data using data from an ambient-light detection module or a zenith-light acquisition module |
| Dimensionality Reduction | SPA, PCA, MNF and related methods; built-in supervised classification algorithms, with SAM for target classification |
| Custom Calculations | Custom band calculations supporting conventional arithmetic, logarithms, exponentials, trigonometric functions and inverse trigonometric functions |
| Index Calculation | Calculates more than 20 vegetation indices, including Normalized Vegetation Index (NDVI), Ratio Vegetation Index (RVI), Enhanced Vegetation Index (EVI), Atmospheric Resistance Vegetation Index (ARVI), Red-Edge Normalized Vegetation Index (NDVI 705), Modified Red-Edge Ratio Vegetation Index (mSR 705), Modified Red-Edge Normalized Vegetation Index (mNDVI 705), Vogelmann Red-Edge Indices (VOG1,2,3), Photochemical Vegetation Index (PRI), Structure-Insensitive Pigment Index (SIPI), Normalized Nitrogen Index (NDNI), Vegetation Decay Index (PSRI), Carotenoid Reflectance Index 1 (CRI1), Carotenoid Reflectance Index 2 (CRI2), Anthocyanin Reflectance Index 1 (ARI1), Anthocyanin Reflectance Index 2 (ARI2), Water Band Index (WBI), Normalized Water Index (NDWI), Moisture Stress Index (MSI), Normalized Infrared Index (NDII), Normalized Lignin Index (NDLI) and Cellulose Absorption Index (CAI). |
| Custom UI | Built-in interactive 2D and 3D data-processing engines let users create interactive custom UI with self-designed styles for interactive data processing and result visualization |
| Custom Development Support | Visual interface with an open algorithm-import interface for source code developed in Python and other common languages. A programmable terminal lets users write algorithms for more complex tasks and functions. Flexible calls to third-party dll libraries support functional expansion. |
| Water-Quality Parameter Retrieval | Retrieval of at least 7 common water-quality parameters, including chlorophyll, total nitrogen, total phosphorus, ammonia nitrogen, permanganate index, suspended matter and dissolved oxygen; third-party data import for calibration |
| Color and Color-Difference Calculation | Converts spectral data into X,Y,Z space; supports conversion of hyperspectral data to L,a,b values and calculation of ΔE |
| Deep-Learning Module | Inference capability for classification and regression models |
Applications
Datasheet
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