Infrared image algorithm development and equipment adaptation

NIR/SWIR, multispectral, hyperspectral and remote sensing infrared algorithm development services

Covering a total of 20 algorithms or engineering workflows from I121 to I140, it provides needs assessment, special implementation, SDK/API, platform adaptation and test acceptance for enterprise projects.

Submit project information · Get evaluation Return to all algorithm catalogs

Classification scope and enterprise project entrance

Algorithm numberI121–I140

Service content20 algorithmic or engineering workflows

Main contentDarkfield, whiteboard and reflectance calibration, spectral bad lines, bad bands and noise band removal, smile/keystone spectral geometry correction, spectral denoising, smoothing and derivatives

Delivery methodPhased evaluation, algorithm/model, SDK/API, deployment and test records

Specific algorithm development services

Darkfield, whiteboard and reflectance calibration

Input: Multi/Hyperspectral and Reference Plates

Output: Reflectivity Cube

Requires project-specific development and validation

View service details →I122

Spectral bad lines, bad bands and noise band removal

Input: Spectral Cube

Output: Effective Bands and Quality Map

Requires project-specific development and validation

View service details →I123

smile/keystone spectral geometric correction

Input: standard spectral line/space target

Output: Corrected cubes and residuals

Requires project-specific development and validation

View service details →I124

Spectral denoising, smoothing and derivatives

Input: Spectral Cube

Output: denoised spectrum and derivatives

Universal foundation can be reused, requiring infrared adaptation

View service details →I125

Multi-band spatial registration and resampling

Input: multiband images

Output: aligned bands and errors

Universal foundation can be reused, requiring infrared adaptation

View service details →I126

Radiometric normalization and cross-date correction

Input: multi-temporal images/reference objects

Output: Comparable reflectance and correction parameters

Requires project-specific development and validation

View service details →I127

Atmospheric correction and terrain correction

Input: remote sensing images and atmosphere/DEM

Output: Surface reflectance and mass layer

Requires project-specific development and validation

View service details →I128

Vegetation indices such as NDVI, EVI, and red edges

Input: VIS+NIR/red edge

Output: vegetation index and zoning

Requires project-specific development and validation

View service details →I129

NDWI/NDMI/NDII moisture index

Input: NIR+SWIR

Output: water body/moisture content index

Requires project-specific development and validation

View service details →I130

NBR/dNBR fire scars and change index

Input: NIR+SWIR multi-phase

Output: burn level proxy and change area

Requires project-specific development and validation

View service details →I131

Split window/single channel surface temperature retrieval

Input: TIR multiband/single band

Output: Surface temperature and mass layer

Requires project-specific development and validation

View service details →I132

Temperature-Emissivity Separation TES

Input: Multiband TIR

Output: Emissivity spectrum and temperature

Requires project-specific development and validation

View service details →I133

Thermal inertia and day and night temperature difference analysis

Input: day and night TIR/meteorology

Output: Thermal inertia proxy and feature zoning

Requires project-specific development and validation

View service details →I134

Spectral Angle Mapping SAM

Input: Spectral Cube/Library

Output: categories and spectral angles

Requires project-specific development and validation

View service details →I135

Spectral matching filtering and object detection

Input: Spectral Cube/Target Spectrum

Output: target score map

Requires project-specific development and validation

View service details →I136

Linear/nonlinear spectral unmixing

Input: Spectral Cube/Endmember

Output: endmembers and abundances

Requires project-specific development and validation

View service details →I137

PLS/Regression Moisture and Composition Estimation

Input: spectra and laboratory truth values

Output: regression values and intervals

Universal foundation can be reused, requiring infrared adaptation

View service details →I138

Hyperspectral Supervised Classification

Input: cubes and labels

Output: Material/Crop/Mineral Category

Requires special model and data verification

View service details →I139

RX/subspace hyperspectral anomaly detection

Input: Spectral Cube

Output: anomaly scores and regions

Universal foundation can be reused, requiring infrared adaptation

View service details →I140

Multi-temporal infrared/spectral change detection

Input: Registered multi-temporal images

Output: variation mask, type and confidence

Need to be evaluated according to project conditions

View service details →

Implementation and delivery methods

Project input confirmationCheck camera, spectral band, bit depth, SDK, environmental conditions, sample and acceptance true value.
Sample verificationVerify key processing links, applicable conditions and abnormal working conditions, and determine the development scope and acceptance methods.
Algorithm development and integrationImplement data parsing, algorithms, quality gating, interfaces and target platform deployment.
Test acceptance and handoverRetest according to the agreed test set and target platform, and hand over the deliverables, test results and applicable conditions.

Requirements and technical solutions, input and output and interface field definitions
Algorithm library, model or SDK/API; delivery form is confirmed in the project plan
Sample program, parameter configuration, error status and calling instructions
Test set version, indicator definition, stratification results and failed sample records
Target platform adaptation, resource usage and running delay records
Version, dependencies, license, reproduction steps and applicable conditions description

Acceptance and capability boundaries

Each algorithm sets accuracy, repeatability, robustness, speed, resource usage and failure status indicators according to the output type.

Production performance and delivery scope are confirmed based on target equipment, independent samples and written acceptance indicators.

Project consultation

Define the Development Scope with Samples and Device Requirements

NIR/SWIR, multispectral, hyperspectral and remote sensing infrared algorithm development services

Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.

Phone: 13910119357
xuzhiyang0928@gmail.com